Petrus H. Zwart's research while affiliated with Lawrence Berkeley National Laboratory and other places
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Publications (23)
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data problems. However, many available ML tools are programmatically demanding and computationally costly. The MLExchange project aims to build a collaborative platform equippe...
The implementation is proposed of image inpainting techniques for the reconstruction of gaps in experimental X-ray scattering data. The proposed methods use deep learning neural network architectures, such as convolutional autoencoders, tunable U-Nets, partial convolution neural networks and mixed-scale dense networks, to reconstruct the missing in...
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data problems.
However, many available ML tools are programmatically demanding and computationally costly.
The MLExchange project aims to build a collaborative platform equippe...
Three-dimensional volumetric imaging of cells allows for in situ visualization, thus preserving contextual insights into cellular processes. Despite recent advances in machine learning methods, morphological analysis of sub-nuclear structures have proven challenging due to both the shallow contrast profile and the technical limitation in feature de...
Revealing the positions of all the atoms in large macromolecules is powerful but only possible with neutron macromolecular crystallography (NMC). Neutrons provide a sensitive and gentle probe for the direct detection of protonation states at near-physiological temperatures and clean of artifacts caused by x rays or electrons. Currently, NMC use is...
Advancements in x-ray free electron lasers on producing ultrashort, ultrabright, and coherent x-ray pulses enable single-shot imaging of fragile nanostructures, such as superfluid helium droplets. This imaging technique gives unique access to the sizes and shapes of individual droplets. In the past, such droplet characteristics have only been indir...
The multitiered iterative phasing (MTIP) algorithm is used to determine the biological structures of macromolecules from fluctuation scattering data. It is an iterative algorithm that reconstructs the electron density of the sample by matching the computed fluctuation X-ray scattering data to the external observations, and by simultaneously enforci...
The execution and analysis of complex experiments are challenged by the vast dimensionality of the underlying parameter spaces. Although an increase in data-acquisition rates should allow broader querying of the parameter space, the complexity of experiments and the subtle dependence of the model function on input parameters remains daunting owing...
Structure determination methods are needed to resolve the atomic details that underlie protein function. X-ray crystallography has provided most of our knowledge of protein structure but is constrained by the need for large, well-ordered crystals and the loss of phase information. The rapidly developing methods of serial femtosecond crystallography...
Structure determination methods are needed to resolve the atomic details that underlie protein function. X-ray crystallography has provided most of our knowledge of protein structure but is constrained by the need for large, well-ordered crystals and the loss of phase information. The rapidly developing methods of serial femtosecond crystallography...
Intensity-based likelihood functions in crystallographic applications have the potential to enhance the quality of structures derived from marginal diffraction data. Their usage, however, is complicated by the ability to efficiently compute these target functions. Here, a numerical quadrature is developed that allows the rapid evaluation of intensi...
We propose the combination of k-means clustering with Gaussian Process (GP) regression in the analysis and exploration of 4D angle-resolved photoemission spectroscopy (ARPES) data. Using cluster labels as the driving metric on which the GP is trained, this method allows us to reconstruct the experimental phase diagram from as low as 12% of the orig...
The adaptive immune system is highly sensitive to arrayed antigens, and multivalent display of viral glycoproteins on symmetric scaffolds has been found to substantially increase the elicitation of antigen-specific antibodies. Motivated by the considerable promise of this strategy for next-generation anti-viral vaccines, we set out to design new se...
Intensity-based likelihood functions in crystallographic applications have the potential to enhance the quality of structures derived from marginal diffraction data. Their usage however is complicated by the ability to efficiently compute these targets functions. Here a numerical quadrature is developed that allows for the rapid evaluation of inten...
A nonlinear least-squares method for refining a parametric expression describing the estimated errors of reflection intensities in serial crystallographic (SX) data is presented. This approach, which is similar to that used in the rotation method of crystallographic data collection at synchrotrons, propagates error estimates from photon-counting st...
Significance
Fluctuation X-ray scattering is a biophysical structural characterization technique that overcomes low data-to-parameter ratios encountered in traditional X-ray methods used for studying noncrystalline samples. By collecting a series of ultrashort X-ray exposures on an ensemble of particles at a free-electron laser, information-dense e...
Fluctuation X-ray scattering (FXS) is an emerging experimental technique in which solution scattering data are collected using X-ray exposures below rotational diffusion times, resulting in angularly anisotropic X-ray snapshots that provide several orders of magnitude more information than traditional solution scattering data. Such experiments can...
Light-induced oxidation of water by photosystem II (PS II) in plants, algae and cyanobacteria has generated most of the dioxygen in the atmosphere. PS II, a membrane-bound multi-subunit pigment protein complex, couples the one-electron photochemistry at the reaction centre with the four-electron redox chemistry of water oxidation at the Mn4CaO5 clu...
Citations
... The last major component, the data connector, is under development. Additionally, we have implemented an assortment of web applications for scientific analysis of multimodal datasets, such as grain/pattern orientation detection, latent space exploration, peak detection for 1-dimensional Xray diffraction (XRD) data, inpainting detector gaps in X-ray scattering [17], and fast artifact identification for raw XRD images [18]. ...
... Is it possible to control their aggregation? [53][54][55][56][57] 3. What are the structural changes occurring in a pure or doped droplet after it has been subjected to intense light pulse such as near-infrared (NIR) radiation? [58][59][60][61]. ...
Reference: X-Ray and XUV Imaging of Helium Nanodroplets
... For materials synthesis, multiple approaches including pipetting robots, 1,2 self-driving labs, [3][4][5] and high throughput synthesis workflows have been proposed. [6][7][8][9][10][11] For characterization, several groups are now developing automated experiment approaches in areas including scanning transmission electron microscopy, [12][13][14] scanning probe microscopy, [15][16][17][18][19] neutron 20,21 and X-ray scattering. 22 The central concept in automated experiments is the workflow, 23 defined as the sequence of steps and operations performed by the automated laboratory or the measurement tool. ...
... We propose to make use of Gaussian process (GP) regression for hyperspectral data collection [39][40][41][42][43] , which is a well-known method for function approximation and uncertainty quantification. This method refers to a set of function values, where any finite subset of elements have a joint Gaussian distribution. ...
... First, to enhance the formation of ICs, we passively administered, prior to immunization, a high-affinity macaque-derived monoclonal antibody (mAb) that targets the base of the soluble HIV Env trimer immunogen BG505 SOSIP. In a second strategy, to enhance MBL binding and subsequent complement deposition, we multimerized the BG505 SOSIP HIV Env trimer immunogen in a particulate form: we recently described the development and characterization of several different two-component self-assembling nanoparticles that present viral glycoprotein immunogens 37,38 . Here, we assessed the in vivo trafficking properties of one such nanoparticle, T33-dn2, presenting the BG505 SOSIP trimer and compared it to soluble Env trimer immunogen. ...
... Therefore, in high-dimensional spaces often more data has to be gathered, which correspondingly increases computational costs. See [31][32][33][34][35] for an overview of work on methods to speed up Gaussian process computations. ...
... Without exhaustive testing we are not able to tell precisely which differences provide the greatest improvement. A significant improvement can however be attributed to the error model used, which has been shown to improve merging on its own using a different approach (Brewster et al., 2019). Another important difference is that our method profits strongly from overprediction, adding many measurements with mostly insignificant intensities, by integrating reflections even if they are further removed from the ideal diffraction condition. ...
... In general, "seeing" their structures is the prerequisite to understanding their large-scale dynamics. While well-established techniques such as X-ray crystallography and cryo-electron microscopy investigate their structures in crystallized or frozen conditions, fluctuation X-ray scattering (FXS) [8] can measure non-crystallized biological particles dispersed in solutions in near-physiological conditions, which is promising for future dynamics study. This emerging technique is not only experimentally challenging but also has a theoretical difficulty in interpreting experimental data. ...
... 9,10 Fluctuation scattering can also be performed even when illuminating more than one particle in coherent diffraction measurements assuming that inter-particle interference can be neglected. 11,12 Illumination of more than one particle helps in enhancing the diffraction signal and will lead to a higher spatial resolution in particle imaging. Elser pointed out that ab initio three-dimensional imaging in fluctuation scattering generally requires unidirectionally-aligned particles, because there are information deficits for randomly oriented particles. ...
... Sunlight plays a critical role in the development of emerging sustainable energy conversion and storage technologies [3]. Light-matter interactions govern a large number of important photochemical and photophysical processes that ultimately determine the existence of life on the Earth, such as natural photosynthesis [4]. One of the most promising energy conversion strategies is to mimic natural photosynthesis by converting sunlight into fuels and valuable chemicals, using abundant feedstocks like water and carbon dioxide [5,6]. ...