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Localization - Science topic

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As my protein levels appears to be varying in different cell types and different layers and localization (cytoplasm/nucelus) of the root tip of Arabidopsis (in the background of Wild type and mutant plants).
I wonder what should be my approach to compare differences in protein expression levels and localization between two genotypes.
I take Z-stack in a confocal microscope, usually I make a maximum intensity profile of Z- stack and try to understand the differences but as the differences are not only in intesities but also cell types and layers in that case how should I choose the layers between two samples?
My concern is how to find out exact layers between two genotypes as the root thickness is not always same and some z-stacks for example have 55 slices and some have 60.
thanks!
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Hi, the answer provided by Prof. Janak Trivedi is pretty comprehensive, agree with that. The ideal approach would be to capture equal number of slices for each stack, but I guess some samples have the signal spread over a greater depth (axially) so you don't want to miss out that signal. Also, you mentioned you make "a maximum intensity profile of Z- stack". So I suggest you average out and also make a montage of your stacks (ImageJ options) and then compare the intensity profiles. Additionally. check out this article:
Hope it helps.
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Hi all,
I am facing a problem in expressing a protein of interest. Whenever I try to express it transiently, I end up messing the existing proteins localization in cells.
Can you suggest me some ways to express a protein of interest without messing up the localization of existing proteins?
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Sonashree Ss There are numerous methods for expressing a protein of interest in cells for live imaging without interfering with endogenous protein localization:
1. Utilizing a particular promoter: You may verify that the production of your protein of interest is confined to the desired region by using a promoter that is only active in a certain cell type or subcellular location.
2. Utilizing a conditional expression system: You may regulate the expression of your protein of interest by using a system such as the tetracycline-inducible system, which allows you to switch it on and off at certain moments.
3. Using a degron system: By fusing a protein of interest with a degron, you may activate its breakdown at specified moments, guaranteeing that your protein of interest is expressed.
4. Using a fluorescent protein: You can fuse your protein of interest with a fluorescent protein to view it while leaving endogenous proteins alone.
5. Using a particular tag or epitope: You can attach a specific tag or epitope to your protein of interest, allowing you to detect it precisely with an antibody while avoiding cross-reactivity with endogenous proteins.
It is worth noting that certain approaches may be more appropriate than others depending on the specific protein, cell type, and imaging system used. To determine the ideal technique for your experiment, it's always a good idea to research the literature and test several strategies.
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Any thoughts on how the bayesian filter can help solve the kidnapped indoor robot problem?
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Hello everyone,
I'm trying to perform Proteinase K assay for downstream analysis of the mitochondrial localization of a protein of interest. I isolated mitochondria from HeLa cells (using mitochondrial isolation kit) and performed Proteinase K assay by adding proteinase-K in increasing concentrations to the isolated mitochondria, with and without Triton-X. I performed western blot to detect the protein of interest and other marker proteins (OMM-Tom20, IMS-Tim23, IMM-cytc, Matrix-Hsp60). In the control (without proteinase K), I could detect all the protein bands. But once I add proteinase-K, I'm not able to detect any of the proteins (including matrix protein Hsp60).
What could be the possible reason for this? Is the integrity of mitochondria lost while isolation? If so, please provide suggestions to maintain the integrity while isolating mitochondria..
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Thank you so much for your answer!!
I'll try reducing the concentration of PK by serial dilutions and optimize it!
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I am trying to record the EMG signals of FDS and FPL muscles. Literature suggests that the surface electrodes should be placed on the center of the muscle belly for optimum signal strength.
I don’t have a past medical background. I am putting surface electrodes manually on the forearm of the person, but I am not sure I am doing it correctly.
So if someone can suggest any methods for muscle localization to place surface electrodes?
I have tried muscle palpation, but I find it difficult because people have different body sizes, muscle mass, and fat levels.
If anybody could suggest a suitable technique, it would greatly help.
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Do you have access to cadavers? If so, that would help. Regardless, recruit a physiotherapist/physical therapist to help you with locating the muscles. Electrode pair spacing on a given muscle should be no more than the thickness of the muscle.
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I am writing my graduation thesis and also have a plan for later to publish my thesis as a paper. So, looking for experts valuable advice and some suggestions. Thank you in advance.
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Minimally Invasive Surgery (MIS) is a surgical intervention used to examine the organs inside the abdomen and has been widely used due to its effectiveness over open surgery. Due to the hardware improvements such as high definition cameras, this procedure has significantly improved and new software methods have demonstrated potential for computer-assisted procedures.
Regards,
Shafagat
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Hi, everyone. We have observed different subcellular localization patterns for GFP fusion and mCherry fusion of the same protein in protoplasts. Could anyone give us some suggestions?
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One plausible reason could be that most of the GFP derivatives form weak dimers under physiological conditions possessing low-affinity membrane-binding ability, particularly to phosphoinositide-rich membranes. On the other hand, mCherry is a monomeric FP, do not form dimers and do not interact with membrane.
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Hi all,
I would like to know if you have any advice on how to perform electrode localization from silicon probes used in rats. I find in the literature that the most used methods in rats are the electrocoagulation technique and the histological staining of the electrode scar. I know that for mice there is a cool method based on fluorescent labelling of the probe and then an analysis software called SHARP-Track (Shamash et al, 2018 https://doi.org/10.1101/447995), which localizes each electrode site along the silicon probe trace. Thus, I wonder if there is also something else that is possible to do in rats, and more specifically if a software for this kind of analysis exists. Thank you for any tips!
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I am looking for an in silico tool/server that can help in predicting sub-cellular localization of proteins. Can anyone help me ?
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Gaurav Kumar PSORT predicts protein localization locations using amino acid sequence information and guidelines established from experimental findings. Gram-negative bacteria, for example, have four localization sites: the cytoplasm, the inner membrane, the periplasm, and the outer membrane.
For example, when studying protein subcellular localization, two methodologies are typically used: fluorophore tagging of the protein (e.g., Green Fluorescent Protein) or a proteomic approach that identifies all the proteins inside a certain cellular compartment (e.g. Mass Spectrometry).
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Howdy, I have been trying to express a big protein (~1500 AAs) of bacterial origin in baker's yeast which needs to get into the nucleus. The protein is fused to E2-crimson fluorescence protein, and SV40 NLS is used. But fluorescence microscopy revealed that only a small fraction (~10%) of yeast cells had red signals in nucleus. The picture is attached.
I wonder why nuclear localization is so inefficient, and any suggestions to improve are welcome!!
Thanks!
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Xiao Yi NLSs are known to be involved in the active transport of foreign proteins and probes into the nucleus. However, the stimulation of plasmid DNA nuclear localization has yet to be fully validated.
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Why self driving car using Artificial Intelligence.What make them essential overcome on complexity, localization, security challenges by AI? How algorithm is useful to resolve such challenges?
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Dear Keith,
I think AI helps path planning navigation system easier and powers self driving vehicle frameworks such as automatic detecting peoples and traffics.
Ashish
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I'm trying to figure out how to find the electron localization function of the conduction band and valence band using VASP. I can generate an ELFCAR, but when I try to specify looking at a specific band (using IBAND or EINT), the resulting ELFCAR looks exactly the same in the CB as the VB, and those two look the same as the total ELFCAR. This makes me think VASP is just giving me the total ELFCAR of the system.
Does anybody have any pro tips? I'll include the INCAR that I'm currently using.
ENCUT = 400
NCORE = 4
ISPIN = 1
ALGO = Normal
EDIFF = 1.0E-6
LORBIT = 11
ISMEAR = 0
IBRION = -1
ISIF = 3
SIGMA = 0.1
LREAL = Auto
ALGO = VeryFast
PREC = Accurate
ISYM = 0
#POTIM = 0.5
NPAR = 1
LELF = .TRUE.
IBAND = 266 #the CB is at band 266
ICHARG = 11
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I don't think you can compute a band decomposed ELF with VASP, as in, I don't think IBAND and EINT are taken into account during the ELF evaluation.
If you want to be sure, you could take a look at the ELF module source code and grep for the key words IBAND and EINT.
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Dear All,
Is it possible for a GPCR to localize in the nucleus in its inactive conformation, even though it is devoid of Nuclear Localisation Signal (NLS)?
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Thank you all.
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Hello, my research team is using Cell Profiler to track the perinuclear localization of a drug into a cell. We are running confocal images, captured at a 20x magnification, with three different dyes through Cell Profiler.
We were hoping to get both perinuclear and peripheral fluorescence per cell and convert that data into violin plots. We are utilizing Cell Profiler to calculate the intensity in 5 bins within the cytoplasmic compartment to determine the perinuclear and peripheral localization of the specific drug. At the moment, we can only get cell fluorescence as an average per image, which encompasses approximately 10 to 20 cells. For the 100 cells we hope to capture for each data set, this would produce only 10 points for the violin plot, which is not enough.
Any details on how you are able to analyze per cell fluorescence with Cell Profiler would be extremely helpful. Any other advice for using Cell Profiler or further contacts who may have input on Cell Profiler would be appreciated. We thank you for any help you may give.
Blessings,
Conner Murphy
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first of all I would like to recomment the CellProfiler forum for specific problems. My experience there were great - a kind and responsive communtiy.
To come now to your problem. I would recomment to use a non specific stain for your cells. Drag5 might work to stain both cell body and nuclei. Otherwise you could use a CellTracker and Hoechst33342/DAPI to provide some spatial information of the cells. Than you should use identify primary objects to find your cells. (You should get now information for your staining per object (i.e. cell) Than I would use the DNA-staining to create a secondary object. These objects/masks can now be used to define the perinuclear space (by expanding and substration of the original mask).
Maybe you can post some sample images?
kind regards
Soenke
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Dear RG specialists, I am wondering if is there a phase transition to a localized transversal phonon sort of coherent state? We know that there is one for the diffuse photon field when light scattering becomes strong enough (frozen light limit [1,2]).
This question arises only for transverse waves [3,4].
Following [1] Frozen light, Sajeev J. Nature volume 390, pp. 661–662, 1997:
Are there strong interference effects, due to the wave-like nature of transverse phonons, which severely obstruct their diffusion?
We already know that electrons & photons can be localized, please see the following articles & references therein:
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The following research article is related to this thread:
Best Regards.
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Alternatively, does there exist a tool that converts the .WFS or .WFSX files to a more conventional wavefunction format that can be used to extract ELF information?
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Thank you for your suggestion Pablo Mtz !
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How can some one detect hidden attractors via numerical simulations?. What does localization of attractor mean?.
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Localization means discovering a region in the phase space, where the attractor is located. Usually, such a region lies in the basin of attraction. So, any point from the region tends to the attractor that allows to numerically compute it. Since for hidden attractors, their basins of attraction do not intersect with unstable manifolds of equilibria, one should develop an intuition for discovering such attractors. There are many developed approaches.
I recommend the following two surveys.
  1. Dudkowski D., Jafari S., Kapitaniak T., Kuznetsov N.V., Leonov G.A., Prasad A. Hidden attractors in dynamical systems. Phys. Rep. 637 1--50 (2016).
  2. Leonov G.A., Kuznetsov N.V. Hidden attractors in dynamical systems. From hidden oscillations in Hilbert-Kolmogorov, Aizerman, and Kalman problems to hidden chaotic attractor in Chua circuits. Int. J. Bifurcat. Chaos. 23(01) (2013) 1330002.
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Im looking for developping cooperative methods with 4 variables (x,y,z and t).
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Monji Zaidi Anchor-based or anchor-free localization techniques are categorized as centralized or distributed, GPS-based or GPS-free, fine-grained or coarse-grained, stationary or mobile sensor nodes, and range-based or range-free. All of these strategies will be discussed briefly.
High bandwidth demand, high energy consumption, quality of service (QoS) provisioning, data processing, and compression methods, and cross-layer design are all challenges in such WSN. physical surroundings Mobile nodes, like static nodes, can perceive, compute, and communicate.
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Scientific research always fool me!!
Why some publications show that effector proteins target both extracellular or intracellular host proteins, while during my investigation, I am advised (from both papers and many professors) to find intracellular host targets when my protein of interest localizes intracellularly to plant cell, and if it localizes to the apoplastic space then I 'd better focus on extracellular host proteins.
And speaking of the subcellular localization of seceted effector proteins. How you define their genuine localization to plant cells?
You tag the secreted protein with their native SP or the plant SP to lead the protein to the functional site? What’s the difference? (Since I tried both resulting in same localization).
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Zhu Han To influence their hosts, secreted effectors work in the apoplast or inside the cytoplasm of plant cells. Effector proteins can perform a variety of functions, but they often aid the pathogen in invading host tissue, suppressing the host's immune system, or otherwise assisting the pathogen in survival. Effector proteins are often required for pathogenicity.
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I'd like to measure levels of NF-κB activation. Is nuclear localization of NF-κB sufficient evidence of activation in human cells?
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Austin Morrissey A gene reporter experiment, which introduces an exogenous NF-B consensus promoter sequence connected to a measurable reporter gene' such as luciferase, is a typical approach for measuring NF-B activity at the transcriptional activation level.
A gene reporter experiment, which introduces an exogenous NF-B consensus promoter sequence connected to a measurable reporter gene' such as luciferase, is a typical approach for measuring NF-B activity at the transcriptional activation level.
NF-B targets genes involved in the onset and progression of inflammation. NF-B is a transcription factor that may be activated. After activation, it can control inflammation by activating the transcription of several genes.
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Suggestions and recommendations are welcome. A protocol used and experience would also be helpful.
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Simpler and easy methods are using bright field microscope and flow cytotoxicity. u can check out these papers:
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Is there any comparative study in the literature regarding the vestibular rehabilitation effectiveness of patients with previous right or left vestibular hypofunction?
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interesting discussion. I had not looked at vest rehab in this way. Now i may re review our patient data and see , if there is any such trends... atleast in new cases i can keep this in mind and see if there is any such issues.
Its also interesting to know that Ignacio Novoa Cornejo uses vHIT data , for rehab.
Do u use gain values to know is compensation has happned or not?...
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Suppose I have and HD map, which have many segments (line, arc, spiral, …), that describe the road of the vehicle.
Now, How can I plot or get the coordinates along the spiral given the all following data:
  • start coordinate of the spiral,
  • the heading (orientation) of the spiral,
  • the start and end of the curvature for the spiral, and
  • the length of the spiral.
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Dear @Qamar Ul Islam, thanks for your response, however it is not the correct. Since the video explained the polar spiral or Archimedes spiral.
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Hello all, I am currently working on a system that contains Pt, and when I've plotted the 2D ELF pattern, this kind of plot was obtained. So, is there any kind of explanation for these kinds of plots?
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Thank you all for your valuable insights. I think I should have mentioned above that I have not got any high ELF value in the core of Pt atom for the antiferromagnetic arrangement of the system (done with same pseudopotential). The above-mentioned case was for ferromagnetic arrangement. Here I am attaching the AFM elf 2D pattern.
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I intent to study the subcellular localization of a protein. I am going to produce the expression construct by fusing a GFP gene sequence to the 3' end of a gene, so that the fusion protein will contain the GFP at the c-terminal of my protein of interest.
Should i provide some spaces between my protein of interest and the GFP by introducing some additional nucleotide sequence in the construct? if yes, what is the recommended sequence to be added?
Or i can fuse the two gene sequences without any gap (without additional nucleotides).
Hopefully there are some experts willing to help me with that. Thank you in advance.
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Yusuf Chong Yu Lok Make use of a vector and insert your gene in front of the GFP gene. Your gene's stop codon should be eliminated, and your gene and the GFP gene should be in the frame.
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I'm working on the atom localization and trying for a better resolution. I want to know how atom localization helps in lithography.
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Dear Muhammad Usman,
Nanolithography (NL) is a growing field of techniques within nanotechnology dealing with the engineering (patterning e.g. etching, depositing, writing, printing etc) of nanometer-scale structures on various materials.
The modern term reflects on a design of structures built in range of 10−9 to 10−6 meters, i.e. nanometer scale. Essentially, the field is a derivative of lithography, only covering very small structures. All NL methods can be categorized into four groups: photo lithography, scanning lithography, soft lithography and other miscellaneous techniques.
For more information about this subject i suggest you to see links on topic.
Best regards
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I want to take slices of electron localization function (ELF), can anyone please let me know how can I generate that.
Which software do I need to use?
Thanks
Shawkat
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Open the cube file using vesta and you will see iso-surface, and in utilities go through 2D data display and click on the slice there you will find hkl plane select it along with the distance from the origin and apply. You will see the 2D slice in any plane you want and from any distance from origin.
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Hello
I have to perform a localization of a underwater autonomous vehicle (UUV) and for that purpose have a couple of sensors available on board. I know that ultrasonic (Sonar) sensors perform well in the water. I also have IMU and Monocular Camera available .So my question is , Visual-inertial localization better solution for underwater compare to Sonar(ultrasound)? So thinking of Fusion of the IMU and and Monocular camera to be used for the localization and depth calculation instead of ultrasound. Which solution is more appropriate and have more advantages?
Thanks
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As an affordable and accurate solution I would recommend the ”Underwater GPS“, that we are using with a BlueRov2: https://shorturl.at/floIJ
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I am working on the projet on indoor localization but I would like to have a sensors logger for rssi , accelero, gyro that could scan all the visible sensors at the same time t in order to apply the trilateration technique to obtain the user position.
I will appreciate if someone could share an idea of what I could use or a way to collect rssi data and other sensor with a 1 second timestamp.
Thank you!
  1. sylvere.pagna : pagnadanny@yahoo.fr
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I created a new OCR dataset used to detect the non-standard license plate . But when use the model that "Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation" proposed ,the F-Measure is 98%, FPS is 14. Is there any other innovation point for this dataset?Improve inference speed? Create a new Quadrilateral target detection method?
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thank you for your suggestion,but the precesion is 98.8% and the recall is 97%,they are both high.@Qamar Ul Islam
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How to analyze the colocalization of two probes using Image J ? The colocalization plugins are not working properly for me. Requesting help in this regard. Inspite of just merging the channels how to quantitatively analyze the localization?
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Also see the following link: https://svi.nl/ColocalizationBasics
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hello, i am modelling a RC slab in Abaqus, the slab is supposed to fail in punching shear which is a sudden failure. i defined the nonlinear behaviour of concrete using concrete damage plasticity model, but i can't reach the desired results as the failure is not sudden (load-deflection curve shows that the load is decreasing gradually after reaching its max value, an it's supposed to be a rapid degradation not a gradual one). as well as, i know that whenever i there is a localization of cracks somewhere in the model (which is the case in my model), using concrete damage placticity model may make the results mesh-dependant. so what should i do? should i use GFI? or do i need to use concrete smeared crack model to simulate the nonlinear behaviour of concrete instead of using concrete damage placticity model?
thank you in advance.
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That is a good question.
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Hello everyone,
I am just working on my master thesis and for this I am planning to find out the localization of a gene, transfected into HEK293 cells. One idea of mine was to digest the genomic DNA with the enzymes SspI, NheI, SpeI and AvrII. The known sequence of my insert will be digested by SspI and on the other hand digest the unkown genomic sequence with NheI, SpeI and AvrII, which produce compatible cohesive ends. In the next step I want to ligate linkers to the sticky ends, and perform a PCR on this template with the primers binding in the linker, so that finally the genomic DNA gets amplified.
To see whether this setup could work I wanted to perform a model experiment on an already modified HEK293 strain, which already obtained the SspI recognition site and the localization of the insertion site is known. But when I checked the genomic flanking sequences, there were no recognition sites for NheI, SpeI and AvrII within the downstream 5000 bp and a subsequent PCR is not really possible. Accordingly, I think my setup for the genome walking is not optimal chosen. Has anybody an idea which restriction enzymes can lead to appropiate results?
Thanks for the help.
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Can any scholar help me provide the Monte Carlo positioning matlab code for mobile sensor networks? E.g. MCL MCB
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I'm trying to stain spheroids embedded in alginate- gelatin hydrogel using mitochondria probe (not Immunostaining). However, I'm getting very high noise and very low signal with this dye specifically. I tried more washing with PBS for 3 times X 10 minutes. I tried also blocking with 2% FBS for 10 minutes to prevent potential non-specific binding with alginate. I tried at first using the suppliers recommendation, but the noise was high. then I tried using 50 nM and 300 nM concentrations of the dye; even though the supplier recommendation is (20 nM to 200 nM). I also tried different incubation times (30 and 60 minutes); even though the supplier recommendation is (15-45 minutes for 2D monolayers). I also tried fixation with 4% PFA; though the supplier recommends not to. It gave better results in the 2D monolayers; but it was of no help with 3D spheroids. Any suggestions?
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I want to work on membrane protein subcellular localization if anyone can guide me regarding these issues:
1- dataset of Multipass membrane protein
2- which type of Pseudo Amino Acids are best for membrane protein type 1 PseAAC, type 2 PseAAC, PseAAC general or amphiphilic PseAAC
Best Regards
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You may want to start with this databases:
mpstruc - membrane proteins of known 3D structure
mpstruc is a curated database of membrane proteins of known 3D structure. To be included in the database, a structure must be available in the RSCB Protein Data Bank (PDB) and have been published in a peer reviewed journal. The database is manually curated based upon on-going literature surveys. Because of the labor involved, new structures are not posted until they are released by the PDB and the complete reference, including pagination for print journals, is available in PubMed. Our goal is to make mpstruc as accurate and complete as possible. If you find errors or omissions, please send a message to Stephen White, Gracie Han (gyewon.han@usc.edu), or Craig Snider. Stephen White, Gracie Han, or Craig Snider (Sorry, you seem to have javascript disabled). mpstruc emphasizes structures determined by diffraction and cryo-EM methods. NMR structures are also included whenever identified. A comprehensive list of NMR-determined structures has been established by Dror Warschawski and is available from the Atoine Loquet lab.
membranome 2.0 database
Membranome database provides structural and functional data about single-spanning (bitopic) transmembrane proteins of six organisms (human, thale cress flowering plant, slim mold, baker's yeast, gut eubacteria, thermophilic methanogenic archaeabacteria) representing all kingdoms of life.
It includes evolutionary classification, topology and intracellular localization of bitopic proteins, protein-protein interactions and known protein complexes, links to three-dimensional structures and metabolic pathways, and computationally generated models of transmembrane domains optimized in the lipid bilayer.
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Hi I'm studying a novel protein that when tagged observe localization in nucleus specifically but excluded from chromosome or nucleolus, any similar protein that has such localization?
Or is there any tools that I can search for protein using localization features?
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konnect2prot and cellmap are two excellent sites for subcellular localization identification.
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I know there are many algorithm used in indoor localization and also for tracking (each or both together) like kalman filter, Complementary filter, Madgwick filte, Best Fit, a weighted consensus, geo-fencing function, ACASIM, ACOSIM, Monte Carlo localization, active noise control, active noise control and many.
my question is as follow:
1- which is the most 20 algorithms (pros and cons) that used till now in indoor navigation (find location or tracking object "human mainly or any object" ?
2- what is the most known used in indoor without implementing sensor in indoor infrastructure ?
i find may papers talking but not much focusing on comparing indoor algorithms from location or tracking side
I really appreciate you help / recommandation / ideas
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The use of RSSI, (Received Signal Strength Indication) for problems of heritage location, which is the best technique, to create a map of patterns or triangulation.
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I recommend reading this paper to answer your question:
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Hi all, I am having trouble with the localization of a fusion protein I construct. So I want to fuse a fluorescent protein (A) with NanoLuc protein (B) and localized to mitochondria. I have tried constructing plasmids with mitochondria targeting sequence and these proteins (linked with 5 a.a linker protein). I have tried many scenarios including using mitochondria targeting fluorescent protein (Mito-GFP) as the vector, and add the nanoluc protein, switched the position of the proteins, used different fluorescent proteins, but none of them allow the specific localization to the mitochondria. Meanwhile, the vector that I used (Mito-GFP) actually does work and is localized to the mitochondria. I even followed a paper (DOI: 10.1134/S160767291703019X) with the same mitochondria targeting sequence, NanoLuc, and linker protein. Yet, it didn't work too. Does anyone have any suggestions?
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Interesting
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I am working on a protein which is smaller in size (25kDa), curranty my protein is tagged with GFP which in itself is 26kDa in size and we can't say my protein is localizing because of it's natural localization or GFP is taking it along. Please suggest some good small tag which I can use in fixed cell imaging, live cell imaging and for immunoprecipitation in mammalian cells.
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If there are two different Nps prepared for two different drugs encapsulated in a single polymeric system(co-delivery) then can the uptake of both the NPs detected using confocal microscopy? In this case two types of fluorescent dyes needed ??
In another case, for cellular localization expt which dyes except Lysotracker can be used?
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Dear C. B. , the simple and general answer to your first question should be clearly negative, the cellular uptake and cellular location of NPs are different experiments. However, they could be the same experiment if all the uptook NP´s are localized at the same organelle or cell region.
With respect to your second question, if you have two different drugs encapsulated in a polymeric delivery system to facilitate the uptake by the cell, they could be detected by confocal microscopy if these two drugs show distinctive fluorescence signals. It means that these two drugs must show auto-fluorescence in the conditions of excitation used and they must show different "colours" to be distinguished. If one or both drugs do not show fluorescence under the working conditions or they show the same or very close colours, then you must use some dye to label each drug. If your delivery system is intended for reaching some cell´s organelle and just there delivering its cargo, may be it could be possible to just follow the whole system (drug A + drug B + polymeric system) and labelling it with the addition of some fluorescent dye, well inside or attached to the polymeric shell. In this way you could see if the whole system reaches the cell and then the target organelle. To use this methodology you need to be sure that both drugs reach the target and that the polymeric shell keeps its cargo till the destination, in other case you would be following an empty- fluorescent- shell.
Hope this helps. Good luck with your research work.
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I am familiar with the equations of basic kalman filter. I was reading a paper where the author's proposed a variant of kalman filter and in the prediction step they had more terms than standard kalman filter. I am referring to equation 10 of the paper "Vehicular Node Localization Using Received-Signal-Strength Indicator" where author has added a term gamma multiplied with dt^2
https://www.comm.utoronto.ca/~valaee/Publications/07-Parker-TVT.pdf. I understand the idea behind term. I do not how to justify the factor one can add new terms affecting the uncertainty of prediction step of kalman filter.
My specific question how can I justify or prove that the new terms in error covariance equation equation 10 (inside attachment as well is correct)
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Hello Varun Garg,
Equation (10) is a result of the non-additive noise formulation for the EKF:
The usual simplification is to add noise to the state after the dynamic/prediction step. Often, we have a better knowledge where noise in the system is present (in the paper example the noise on the velocity measurement ist known). In such cases, you can use the non-additive noise formulation.
If you want to prove/check covariance equations in general you can refer to covariance computation rules:
The equations (9) and (10) of the paper calculate the expected value and covariance of the distribution propagated through the dynamic model (2).
Solving:
A_k|k-1=E(A_{k-1|k-1}+Ts * u_{k-1}+Ts w_{k-1})
P_k|k-1 = Cov(A_{k-1|k-1}+Ts * u_{k-1}+Ts w_{k-1})
, where E(...) computes the expected value results in (9) and (10).
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At frame-level, when anomaly score crosses a fixed threshold, then frames are treated as anomalous. But, how to localize the anomaly in spatial domain (with in anomalous frame)? Also how to make the threshold adaptive one?
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Hello all,
I'm currently designing experiments for a project to characterize lysosomes within primary culture astrocytes. One of the parameters I'm interested in is lysosomal localization and surface markers. I was wondering if anyone had experience with imaging lysosomes or similar subcellular structures and could advise on the length of time the cells will be viable for imaging post-fixation in 4% PFA before they start to degrade. Thank you in advance for the help.
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If you are interested in lysosomal distribution and localization, antibody staining (for example Lamp1is a good marker on lysosomal surface) is perfectly compatible with PFA fixation. You can fix your cells, perform an immunofluorescence for Lamp1 and store your preparation at 4ºC for as long as you want. As Tanoy Dutta was saying, cells are not alive so viability is not an issue. But in case you need to study lysosomal pH, you will need your cells alive indeed, so you won't have to fix them with PFA. There are available probes pH sensitive such as LysoSensor.
Hope this is useful!!
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i need to know the different methods and geological parameters for characterization of sedimentary basin and to know the tectonic evolution of that. will it be helpful in getting the mineralization localization.
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I think this book chapter could help you;
Plate Tectonic Evolution of Sedimentary Basins, W.R. Dickinson, January 1978,
That's available on the ResearchGate Server for download.
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Dear RG members,
I am working on the potentials of "Glocalization" (i.e., the combination of globalization and localization) to support the sustainable development agenda and achieving sustainable development goals (SDGs).
In your opinion, how glocalization can affect the SDGs? Which SDGs?
I would be pleased to receive your comments, suggestions, or any suitable reference in this regard.
Best,
Meisam
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  1. Research articleTransformative tourism organizations and glocalization Annals of Tourism Research29 March 2019...Joelle Soulard Nancy Gard McGehee Marc Stern
  2. Conference abstractOpen access160: Exploring Glocalization in the Construction and Implementation of Global Curricula Radiotherapy and OncologySeptember 2020...Meredith Giuliani Janneke Frambach Maria Athina (Tina) Martimianakis Download PDF
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  4. Research articleA ‘glocalization’ approach to the internationalizing of crisis communication Business Horizons14 February 2018...Derek Lehmberg Jeff Hicks
  5. Research articleGlocalization in Website Writing: The Case of MNsure and Imagined/Actual Audiences Computers and CompositionDecember 2015...Lee-Ann Kastman Breuch
  6. Research articleThe glocalization of mining conflict: Cases from Peru The Extractive Industries and SocietyNovember 2016...Maritza Paredes
  7. Research articleAn institutional perspective of “Glocalization” in two Asian tigers: The “Structure−Agent−Strategy” of building an age-friendly city Habitat InternationalJanuary 2017...Yi Sun Tzu-Yuan Chao Doreen W. H. Au
  8. Book reviewGlobal Themes and Local Variations in Organization and Management—Perspectives on Glocalization
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Hello
I want to find accurate locations of some static objects to be used as landmarks for localizing other mobile object. As the landmarks will be used to localize other object, their own location must be accurate. Kindly suggest some practical methods for accurate positioning of static objects(landmark).
Best regards
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@tariq islam .Use dead reckoning.it is the process of calculating current position of some moving object by using a previously determined position, or fix, and then incorporating estimations of speed, heading direction, and course over elapsed time.
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Hi all
I am working with a membrane protein and I want to see its topology. I have previously used GFP tag to find out the localization of proteins. But in my new work, which will concern investigating membrane topology, I am a bit apprehensive in using the GFP tag as it may alter the membrane topology of the proteins I am using.
Is/are there report(s) that indicate that GFP fusion can change the topology of membrane proteins?
Thank you in advance.
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Can you use glycosylation to probe membrane protein topology? Fig. 1D in the following article discusses this.
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I want to perform cellular uptake and localization study of my siRNA-loaded nanoparticles. For performing both the experiments which fluorophore-labeled siRNA, I should order.
Kindly suggest.
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Thank you so much.
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Where can I find the whole dataset of Whitehill's paper: The Faces of Engagement: Automatic Recognition of Student Engagement from Facial Expressions, and Amanjot kaur's paper" Prediction and Localization of Student Engagement in the Wild. It says open for research, but could not find. Or any sugessions for finding these two dataset.
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Dear Dr. Yuqian Li
Perhaps by the time I am writing you this note you have seen this site. I
hope I have helped something
regards
Reinaldo
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Hello! Seeking helps from fellow researchers who use AAV to express transgenes in their model system. I have encountered a strange issue when using AAV2/1 to express a neurexin protein in the mouse brain. After virus injection and 2-week expression time, I could see robust expression of target protein at the site of injection, but none of the protein seems to correctly transport to the presynaptic terminals far away from the injection site (which is an inherent property of neurexin). Has anyone noticed the change of the natural localization pattern of their protein after AAV-mediated expression?
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Thanks you for sharing the details.
You mentioned that the AAV particles have worked earlier - did it work for Neurexin for the same neurons that you are trying to target now? If yes, then I guess there might be some issue with the AAV production.
One common problem is the recombination events of the ITRs in the plasmid. This might compromise the expression of your target protein. I would highly recommend to perform a control digest for the AAV construct. You can find some other helpful tips for troubleshooting here - https://blog.addgene.org/tips-for-a-1st-time-aav-user-by-a-rookie-aav-user
Also, I came across this plasmid which supposed to have much better tropism for mouse brain - https://www.addgene.org/166921/ . Maybe this will be help to improve the results from your experiments.
Good luck !
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How to find the candidate genes to validate their role through functional genomics experiments such as cloning, transgenics, over-expression, localization, and its interaction with other proteins and DNA, etc.
1)Do we need to study a lot of literature and see which genes role is not deciphered in particular traits e.g. drought stress?
2.) Do we need to perform our own transcriptome or comparative genomic studies or analyze already published studies from literature?
3. ) Do we need to perform our own marker traits association(QTLs) study or already published studies?
4.) Some people functionally characterize already known genes(say arabidopsis) to plant of their interest (legumes). But is it a significant or novel research problem to work upon?
5. all of the above.
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Hey Shubham,
it depends on what questions you would like to answer with your experiments. I'm also not sure if i fully understand your question but maybe this helps:
1) -> it is always useful to read and know the important literature.
2) -> transcriptomic data and comparative genomic studies are useful to identify relevant genes for a certain issue. When it comes to transcriptomic data a useful approach is to expose your organism/cells to a certain stress to detect up-/downregulated genes compared to non exposed cells. Therefore it is important to design your own experiments to answer your individual questions.
Finding only homologous genes/proteins, you can use several bioinformatic databases (BLAST, UniProt...) in this case you should know your target genes.
4) -> characterizing already known genes of the same organism/cells is not useful. Why would you do that when it's already reported? But you can investigate homologous genes of another organism (not reported!) to check if comparable gene sets/proteins are involved in e.g. draught/starvation etc... Finding completely unknown genes and classify them to a cellular event is not that easy as you might think :)
good luck!
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I am in search of the following questions
1. How to use 5G in Vehicle to Everything (V2X) infrastructure?
2. What kind of information for such a communication is used and how?
3. How Cooperative Localization and tracking can be used in the setup of 5G and V2X?
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So we are conducting a real-world navigation experiment in a railway station, and to achieve our objective we gotta be able to have the head's position and orientation in space (classical indoor tracking problem). we are not interested in any real-time stuff only to have this information in post-experiment processing but so far all the solution that I've tried are not working
-[Perception neuron v32][1] inertial mocap accumulated around 1m of error after 60m.
-[Orb Slam][2] on [PupilCore][3]'s world camera even with Procrustes the path doesn't match the ideal path.
-WearNotch inertial mocap huge drift in term of orientation 30° after just 60m
All subjects will be required to cross the same 160m path which might be helpful and there is a simplified mesh of the environment covering the desired 160m with the subject initial starting underground and going up to catch a train with no possibility of having a stationary localization setup such as NFC network or Vicon. All suggestion are welcomed ^^
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I believe we used a VectorNav Vn-100 but mainly because we already had it available at our lab.
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I have a soluble yeast protein that needs to be transported to mitchondria for processing. I have put the Cox IV presequence infront of the ORF. I know it would be synthsized in cytosol, imported to mitchondria where its presequnce would be processed and it would go through folding with the healp of mtHSP70. My question is: would it be realed into the cytosol after the folding?
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thanks
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During a computational analysis, I found that for a protein of a plant, two different subcellular localizations are seen using CELLO and WoLF PSORT. For example, in CELLO, it identified the protein to be in cytoplasm and in WoLF PSORT, it identified the same protein to be in the endoplasmic reticulum. Why is this difference?
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Hi Versha, this online software runs on different Algorithms, as different algorithms have different ways to predict and sort the data, sometimes the prediction changes.
CELLO uses a two-level Support Vector Machine system to assign localizations.
WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction.
Some like PSORT db - uses laboratory experimentation (ePSORTdb dataset) and computational predictions (cPSORTdb dataset) data
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Hello, I am planning to insert GOI between CaMV 35 promoter and mGFP in pCambia1302 to produce a fusion protein and see subcellular localization of the protein.
But the vector says it's membrane bound GFP so I wonder if it would affect my protein's localization with in the cell.
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Hi Hyunbae Lee,
If you are going to place your GOI before the mGFP, the transit peptide from your GOI will direct the GFP to wherever it goes inside the cell.
In order to make the cloning easier, I would suggest you to use NcoI site to clone your GOI by using a method called ELIC that allows you to insert your fragment in sense cutting with only one enzyme. (Find attached the paper) In our lab we use DH5a strain and we also realized that homologous sequences around 15bp to the vector works perfectly.
Best
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I have a list of gene names from deep sequencing from a constructed CRISPR knockout library. I was hoping to write a script to annotate all the gene names with a quick description of product function/cellular localization just to give me a rough idea of which hits to look into further. I've been trying to annotate genes manually by looking up top hits on GeneCards, ProteinAtlas, etc. but as this is a whole genome set this is clearly not a viable solution. Are there any quick and easy tools to pull gene ontology/gene annotation info from a database when fed a list of gene names? My R and Bash skills are pretty rudimentary right now so ideally I'd like this to be as simple as possible. Any suggestions would be a big help!
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You may try GOSim or GOexpress package from conductor for annotation of your gene list.
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hello all
I have started a research on range-free localization in wireless sensor networks using artificial neural networks. would you please introduce some great researchers in this field for citation?
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Very interesting Mr. Mohamed-Mourad Lafifi. Thank you for sharing the files.
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Hi all!
I've been using local copy of Mitoprot software for prediction of gene localization.
I've updated my laptop and now need to download Mitoprot again, but the download link seems to be broken. I can't find it anywhere else either. Does anyone have a copy or knows where I can get it?
Thanks!
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You may be able to download from ftp://ftp.biologie.ens.fr/pub/molbio/
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Generally, mTOR is described to function as a lysosomal-associated nutrient sensor which stimulates cell proliferation. When mTOR is inactivated via nutrient-starvation or AMPK activation, it falls off lysosomes into the cytosol.
However, does anyone know if mTOR can remain active in the cytosol, or if its localisation always dictates the activation stage?
Thank you,
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When lysosomotropic agents are used such as astemizole or itraconazole, mTOR is detached from the lysosomal membrane and is inactivated. This is one of the mechanisms by which lysosomotropic agents have anti-cancer effects. Therefore, I presume that mTOR is functional only while attached to the lysosomal membrane.
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Vision-based formation control for swarm robotics
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There are few code available regarding this subject.
If you are interested in the learning aspect, this article is good:
Learning Vision-based Flight in Drone Swarms by Imitation
IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION. ACCEPTED JULY, 2019
Another very good article - WITH CODE (at least should be released soon): a drone is following a target with an AprilTag - the target can be the considered as the leader.
Fast-Tracker: A Robust Aerial System for Tracking Agile Target in Cluttered Environments
Regarding source code, another place to look at is:
Multi-robot Systems (MRS) group at Czech Technical University in Prague
Please look at the video that may fit your need: https://www.youtube.com/watch?v=Ax3ONfo1hMA
Best
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I am working on a GNSS/INS tight integration model for vehicle localization during loss of GNSS such as under parking, dense trees etc. using IMU measurements only with the positioning error less than 2 meters for at least 1 minute. However, positioning error is quickly increasing in the absence of GNSS as well as velocity error. I am trying to adopt NHC (non-holonomic constraint) model along IMU measurements. However, accuracy is not much improved. I studied several papers related to NHC model and theoretically NHC model should work. Can anyone guide me to integrate NHC model and IMU especially in the real time implementation perspective in the NED/ECEF frame of reference. Thanks in advance.
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Based on my experiences on implementing NHC on real products, there are some challenges:
1 - Misalignment between vehicle body frame and IMU frame may be estimated, you can detect it when plotting the signals in the rear-wheel frame.
2 - If the vehicle turns drastically or jumps, NHC should be deactive.
3 - The measurement noise covariance matrix for NHC should be adaptively tuned.
You can have a look at Groves's book Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems.
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Hello,
I am looking for technique with codes where if we have been given any camera captured image it will binarize only the part which is in the focus of the camera and erase the part on the background.
Also, only any localization of the area under the camera focus will also be helpful.
Thanks.
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Please the see the article given below, very useful for your
Image binarization focusing on objects
Regards
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Its like a spectrum based fault localization has reach its picks in one aspect of solving fault location.
Few of the SBFL metrics are actually effective and the only problem is that when there are too many coincidental spectra, these metrics would have many ties during ranking and that is why a developer would have to go through many tie ranks before locating the fault in a program.
What are the other information that can be collected during program run time that can help to debug using SBFL method of fault localization?
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@Mohamed-Mourad Lafifi, thanks so much sir. I really appreciate it sir.
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My protein of interest is already fused to TagRFP reporter gene so I genotyped my plants and I figured out that the plants are overexpressing my protein of interest according to level of mRNA using real time PCR; Unfotunatley, I am not able to see its subcellular localization under confocal microscope despite the fact I also amplified the expected TagRFP amplicon in transgenic plants.
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Hi,
there can be one more issue in this regard. The TAG protein will give signal when properly folded. Some times the TAGs added at the N-ter and some time C-ter of the protein of interest. See if some literature exists to show that the TAG will give the signal the way you have cloned. If not, try to change the orientation of the TAG
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Dear all,
I'm examining the cellular localization of aromatic hydrocarbon receptor ,Ahr protein, of control and treated samples
I was expecting rounded dapi shape and cytosolic localization of Ahr protein in control sample.
But the result was a little bit strange
Who can explain the shape of dapi and the localization of Ahr and Dapi ?!
Any explanation and advises will appreciated..
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Unbound receptor should be cytosolic. The receptor binds to ligand that has been taken into the cytosol by the cell and translocates to the nucleas where it interacts with the mechanism that produces mRNA. A number of older papers have described this phenomenon. Just from memory I would lookup articles written by A. Poland and J. Knutson of the U.W. Madison (1980s or so). I think their classic review article was 1980 or so.
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I wanted to know if there is any software/app that helps to easily annotate hand joints in an RGB image manually.
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Thanks Abrar Ahmed and Mohammed Salih Mahdi ..... I checked the link, it is a great software. One more question I wanted to ask. Can it annotate Hand joints? All the tutorials and the videos that I found were concentrating on finding segmentation masks and bounding box for a particular object.
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Hi,
I am doing localization and abundance studies on a novel lncRNA. I would appreciate some advice on the kind of FISH or LNA tech. kit/fluorophore to use and the products which have high sensitivity and specificity. (because its a novel lncRNA, i will be designing custom probe)
Thanks
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Stellaris has a software where you can design RNA FISH probes.
All you have to do is to make an account and paste the sequence of the lncRNA.
It will have the different parameters like masking level, probe length, etc. which you can control while designing your probes.
here is the link for:
hope it is helpful for you,
Good luck