Synchrotron big data science
C Wang, U Steiner, A Sepe - Small, 2018 - Wiley Online Library
The rapid development of synchrotrons has massively increased the speed at which
experiments can be performed, while new techniques have increased the amount of raw …
experiments can be performed, while new techniques have increased the amount of raw …
[HTML][HTML] Application of ultraviolet, visible, and infrared light imaging in protein-based biopharmaceutical formulation characterization and development studies
Imaging is increasingly more utilized as analytical technology in biopharmaceutical
formulation research, with applications ranging from subvisible particle characterization to …
formulation research, with applications ranging from subvisible particle characterization to …
Classification of crystallization outcomes using deep convolutional neural networks
The Machine Recognition of Crystallization Outcomes (MARCO) initiative has assembled
roughly half a million annotated images of macromolecular crystallization experiments from …
roughly half a million annotated images of macromolecular crystallization experiments from …
What's in a drop? Correlating observations and outcomes to guide macromolecular crystallization experiments
Observations of crystallization experiments are classified as specific outcomes and
integrated through a phase diagram to visualize solubility and thereby direct subsequent …
integrated through a phase diagram to visualize solubility and thereby direct subsequent …
Lessons from high-throughput protein crystallization screening: 10 years of practical experience
Introduction: X-ray crystallography provides the majority of our structural biological
knowledge at a molecular level and, in terms of pharmaceutical design, is a valuable tool to …
knowledge at a molecular level and, in terms of pharmaceutical design, is a valuable tool to …
Protein structural alignments from sequence
Computing sequence similarity is a fundamental task in biology, with alignment forming the
basis for the annotation of genes and genomes and providing the core data structures for …
basis for the annotation of genes and genomes and providing the core data structures for …
Real-time protein crystallization image acquisition and classification system
In this paper, we describe the design and implementation of a stand-alone real-time system
for protein crystallization image acquisition and classification with a goal to assist …
for protein crystallization image acquisition and classification with a goal to assist …
Learning deep convolutional neural networks for x-ray protein crystallization image analysis
Obtaining a protein's 3D structure is crucial to the understanding of its functions and
interactions with other proteins. It is critical to accelerate the protein crystallization process …
interactions with other proteins. It is critical to accelerate the protein crystallization process …
Some practical guidelines for UV imaging in the protein crystallization laboratory
High-throughput imaging of protein crystallization experiments with ultraviolet (UV) light has
recently become commercially available and can enable crystallographers to differentiate …
recently become commercially available and can enable crystallographers to differentiate …
[PDF][PDF] Using textons to rank crystallization droplets by the likely presence of crystals
JT Ng, C Dekker, M Kroemer, M Osborne… - … Section D: Biological …, 2014 - journals.iucr.org
The visual inspection of crystallization experiments is an important yet time-consuming and
subjective step in X-ray crystallography. Previously published studies have focused on …
subjective step in X-ray crystallography. Previously published studies have focused on …