CHiMP: deep-learning tools trained on protein crystallization micrographs to enable automation of experiments.

ABSTRACT: A group of three deep-learning tools, referred to collectively as CHiMP (Crystal Hits in My Plate), were created for analysis of micrographs of protein crystallization experiments at the Diamond Light Source (DLS) synchrotron, UK. The first tool, a classification network, assigns images into categories relating to experimental outcomes. The other two tools are networks that perform both object detection and instance segmentation, resulting in masks of individual crystals in the first case and masks of crystallization droplets in addition to crystals in the second case, allowing the positions and sizes of these entities to be recorded. The creation of these tools used transfer learning, where weights from a pre-trained deep-learning network were used as a starting point and repurposed by fu

SUBMITTER: King ONF 

PROVIDER: S-EPMC11448919 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature