LCD - Science topic

In Shimadzu LabSolutions Version 5.71 SP1, the terms "Processing Method" and "Batch Processing" may not appear explicitly in the menu, but the equivalent functions exist under Postrun Analysis and Data Analysis. Here’s where to find them:

1. Removing Unwanted Peaks in Bulk

Since LabSolutions doesn’t have a direct "Batch Processing" function, you can apply "Data Analysis Method" to multiple files:

1. Open LabSolutions Postrun

Go to [Postrun] in the software.

2. Set Up a Data Processing Method to Remove Unwanted Peaks

Open one chromatogram.

Click "PDA Data Processing" or "Quantitative Processing" (depending on your setup).

Go to "Peak Integration" and adjust parameters:

Set a retention time filter to only integrate peaks at 4.5, 6.5, and 11 min.

Save this as a New Processing Method.

3. Apply the Method to All Files at Once

In Postrun, go to File → Batch Processing Settings (or "Batch Recalculation" in some versions).

Select all 40 files and apply your saved processing method.

This will automatically remove unwanted peaks across all files.

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2. Bulk Export of Peak Table Data

LabSolutions does not allow exporting peak tables in bulk directly, but you can automate it:

1. Export Peak Table in ASCII Format (For Each File):

Open [Postrun] → [Peak Table].

Click "Export" → Choose ASCII (.txt) or CSV (.csv) format.

This needs to be done per file, but you can automate it with a script in Excel.

2. Automate Bulk Data Import into Excel:

Save all ASCII/CSV files in one folder.

In Excel, use Power Query (Data → Get Data → From Folder) to import all CSV files into one sheet for further processing.

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3. Bulk Export of Chromatograms

1. Export Multiple Chromatograms as Images/PDF at Once:

In Postrun Analysis, go to File → Export Chromatograms.

Select multiple files.

Choose output format (PDF, PNG, JPEG).

If this menu is not available, another workaround is to use "Batch Printing":

Go to Postrun → Print → Batch Print and save as PDFs instead of printing.

For LC-MS analysis on macOS, user-friendly software options include 1- MZmine: an open-source tool for mass spectrometry data processing, 2- OpenChrom: which supports various chromatography and mass spectrometry data analyses. Both offer robust functionalities suitable for analyzing LC-MS data.

It looks like you want to quantify the long term effects of 'Hololens' and 'Screen' relative to each other, and not so much relative to no 'mixed reality display'.

In that case, I think that you need to cross over from 'Hololens' to 'Screen' or v.v. only once: after the third test run. Because if you cross-over after each test run, you'd measure the long term effects of both type of devices at the same time and cannot well contrast the results. And that implies that you can randomize only once.

Does that answer your question?

Dear sir, I guess the Teensy is used to acquire the signal (use one of the analog inputs; for instance, pins for 14 to 23 Analog). The signal is of course converted (Analog to Digital) inside the Teensy. Then, you can display what you read using SPI (pins 10 to 13 of Teens) on SPI LCD Screen. For the Bluetooth device, I don't know what is it used for; maybe to save the data on an SD card and send the data (acquired ECG) to a remote station (computer I guess). You can use it. It is not difficult to assemble that and programs exist for each task: 1. Acquire analog signal using Teensy; 2. Display a value, figure using SPI of Teensy on an SPI LDC display; 3. Send data using a Bluetooth device.

First, you won't be able to do it on an Arduino Uno because its inputs are not true analog; they are pulse width modulated. I solved this problem by using an Arduino Due, which has true analog outputs and inputs.

Second, you'll just need an OpAmp to add a gain to the voltage signal, and you can also filter out noise at the same time. Calculate the gain you want (from 200mV to 5V gives a gain of 25), then pick the correct OpAmp circuit for the job - I think a comparator would be appropriate here. Simply refer to elec eng tutorials online (like this one: https://www.electronics-tutorials.ws/opamp/op-amp-comparator.html).

Third, the code for showing a readout to your LCD screen (these are standard with the Arduino kits) is also standard, you can find this online in any Arduino forum. Use C+ in the IDE to write a "if...then" for different levels of input voltage to cause a display of either "10 ppm", "100 ppm", etc. That should be easy to do in 3 lines.

The hardest part is getting your sensor to detect the analyte repeatably!

The reorientation begins at the center of the LC cell (assuming a symmetrical cell for simplicity). The thicker the cell, the less impact the substrate has on the director in the center of the cell. In the meantime, the local electric field decreases with the increase of thickness at a fixed applied voltage. These two factors (coincidentally) cancel each other out and therefore the threshold voltage does not depend on the thickness of the cell.

However in different geometries (e.g. homeothropic->planar reorientation when the electric field is parallel to the substrate) the threshold voltage may depend on the thickness of the cell.

The elastic constants (Kij) are material specific and are commonly treated as constants if the temperature is fixed.

Hi, My paper

I fully agree with Reuben. The National Solar Radiation Database (NSRDB) is an excellent tool. Within the NSRDB, are several data sets. I am unsure of the existence of recent measuring stations in your area. Nevertheless, you may use the so-called Physical Solar Model (PSM) data set which results from a processing of satellite observations and models. Hope it helps. Best regards. Lucien

Dear Anusha, welcome, In this case, we have various type of micro-controllers, such as Arduino ( AVR base), LPC17xx ( ARM series).Arduino series are cheap. due to they have boot-loader they are easier than others.For Arduino series you can see link below:

Arduino Uno R3 is a good and cheap board. it's available it link below :

another board but smaller with Arduino Uno detail is Arduino nano or pro-mini, and they are available it blow links:

ARM series are reliable and they have been used in industrial projects. Best wishes.

Thank you Very much Joerg Fricke sir.

@Branko Livada thanks, I will check this out. 

Thank you both very much for your excellent replies to my question! I am working on the schematic.

Dear Sahil,

in addition to the previous mentioned paper and lecture, you can add the following material:

-Akondi Vyas et al., "Spatial Light Modulator for wavefront correction", 2009.

-A Reflectance Display: Supplemental Appendix - Harvard University at vision.seas.harvard.edu/reflectance_display/SLM_appendix.pdf

Thank you, particularly Daniela, for pointing out the connection between transparent displays and Zeiss smart glasses. I'm still digesting all this. Semi-transparent films can be many types, not just amplitude- (or intensity-) divided. Polarization, spectrum, or even phase and diffraction orders might be exploited. Sophisticated wave-guide type of lights can be placed at the edges instead of blocking the view. So many possibilities. Janus particles, is that also a possibility? So my understanding is that Zeiss smart glasses are actually transparent near eye displays, and still a lot of work to be done to solving the problems of sever eye strains and people's having  a hard time focusing on the images on the glasses.

As a rule of thumb, like matters dissolve each other. For example, polar liquids may dissolve polar materials.

Qasim,

LCD typically has a what's called "LCD module", which servers as the interface between a programmer and the LCD. In your case, if your LCD is directed controlled by this TS-7800 embedded /controller/microcomputer, you should be able to find a manual such as "TS-7800 databook" or something, in which you can find the function you are looking for. Otherwise, say if the LCD is controlled by a module mainly consisting of HD44780 (a very popular LCD controller), you should be able to find a manual for HD44780, and look for the code for the sleeping mode.

If the problem is that you don't understand the "code", I recommend you find a book on either embedded system or microcontroller/microcomputer (the easier to read the better), or ask someone who has a background in these things.

Good luck.

thank you for all your response

LM6059BCW based on ST7565P LCD-controller. On MicroC include ported-version of open-cource GLCD-library with low-level driver only one for Samsung KS108/KS107 LCD-controller. ST7565P and KS108/KS10 are not compatible. See https://www.mikroe.com/forum/viewtopic.php?f=72&t=56735  

You can use vanilla GLCD-library and self-port driver code for ST7565P by example for KS108/107 from MicroE --> http://www.mikroe.com/download/eng/documents/compilers/mikroc/pro/pic/help/graphic_lcd_library.htm

Hello Vahid,

Although you have the firmware as open source, is it having the details of the hardware? If the hardware was also open source like the Arduino platform, it would have been much easier for you. That is why I stated as to do some HACKING into the hardware - do some R & D (read as Repairs and Damages) on the board!

Yes, in one of my application if i initialise timer2 after timer0 it interrupt does not work. My code is right. Company people will not tell you this thing. I have even found fault in microchip devices datasheet

It is band theory that tells whether the material is conductor, insulator or semiconductor

If band gap very high such material behave as insulator. If band gap (energy difference between lower edge of conduction band and upper edge of valance band) is small ( may be 0.5 eV to several eV need to confirm from book) then it behave as semiconductor. If band is half filled such material behave as metallic behavior. You can find detail information in general Solid State Physics book

If the band gap of material in the range of energy of visible light, such material show photovoltaic effect and can be used to fabricate solar cell.

That type of material should be effective and is typically available at a fabric store. Back in the 1980s we used polyester - I don't know what people are using thes days.  A smooth polyester paint roller was very effective.  In my research, I found that the rubbing causes the polymer molcues at the surface to realign in one direction and it is the intermolecular (van der Walls) forces that cause the LC molecules to align in the direction of the orientation of the polymer moleules.  We never saw any grooves.  See my paper entitled "Surface Anchoring of Liquid Crystal Molecule on Various Substrates" on the Research Gate website.  

A processor (within the camera) can be made to start counting while camera is flashing and the timer can be made into off when the signal reaches the LCD.

Use the ArduinoIO from http://www.mathworks.com/matlabcentral/fileexchange/47057-arduinoio-zip, it is essentially a gateway host inside the arduino with MATLAB support object that traffics common arduino commands via MATLAB

If you know the input voltage standard of the image sensor, then you can adjust the FPGA output voltage standard through the programming software to match the sensor voltage.

For any optics you have: check the lens of your immersion objective. Carbonate accumulates periodically in a film on top of the lens and reduces the visibility. You might need to rub it off. Check the allignment of your condensor (look online "Kohler illumination to learn how to do it).

If you do NOT have DIC-infrared optics, check the visibility of neurons from young animals: in mice before P12 the myelination is not yet complete and brain slices look transparent. You should see the somas (anywhere in the brain) well outlined. With aging and myelination you will greatly loose visibility. In adult, without DIC optics the cell somas are not visible (you should ask your boss to buy you DIC optics if you work on adult animals... it will save you years of work).

If you do have DIC-infrared optics: Rotate the polarized-lens filter to optimize the contrast of cell somas.

Also

Check that the recording chamber is clean (glas surface free from carbonate concretions). If not, scrub it (lightly acid solution helps) or replace the glass bottom.

Check the contrast settings of you imaging program... but I guess you did that already. Same of course for the light source intensity...

Good luck!