Unknown

Dataset Information

0

Classification of crystallization outcomes using deep convolutional neural networks.

ABSTRACT: The Machine Recognition of Crystallization Outcomes (MARCO) initiative has assembled roughly half a million annotated images of macromolecular crystallization experiments from various sources and setups. Here, state-of-the-art machine learning algorithms are trained and tested on different parts of this data set. We find that more than 94% of the test images can be correctly labeled, irrespective of their experimental origin. Because crystal recognition is key to high-density screening and the systematic analysis of crystallization experiments, this approach opens the door to both industrial and fundamental research applications.

SUBMITTER: Bruno AE 

PROVIDER: S-EPMC6010233 | biostudies-other | 2018

REPOSITORIES: biostudies-other

Json Xml
altmetric image

Publications

Classification of crystallization outcomes using deep convolutional neural networks.

Bruno Andrew E AE   Charbonneau Patrick P   Newman Janet J   Snell Edward H EH   So David R DR   Vanhoucke Vincent V   Watkins Christopher J CJ   Williams Shawn S   Wilson Julie J  

PloS one 20180620 6

The Machine Recognition of Crystallization Outcomes (MARCO) initiative has assembled roughly half a million annotated images of macromolecular crystallization experiments from various sources and setups. Here, state-of-the-art machine learning algorithms are trained and tested on different parts of this data set. We find that more than 94% of the test images can be correctly labeled, irrespective of their experimental origin. Because crystal recognition is key to high-density screening and the s  ...[more]

Similar Datasets

Unknown Wheat Spike Blast Image Classification Using Deep Convolutional Neural Networks.
| S-EPMC8248543 | biostudies-literature
Unknown Digital mammographic tumor classification using transfer learning from deep convolutional neural networks.
| S-EPMC4992049 | biostudies-other
Unknown Automatic anatomical classification of colonoscopic images using deep convolutional neural networks.
| S-EPMC8309686 | biostudies-literature
Unknown Automated abnormality classification of chest radiographs using deep convolutional neural networks.
| S-EPMC7224391 | biostudies-literature
Unknown Prostate Cancer Detection using Deep Convolutional Neural Networks.
| S-EPMC6925141 | biostudies-literature
Unknown Classification for avian malaria parasite Plasmodium gallinaceum blood stages by using deep convolutional neural networks.
| S-EPMC8376898 | biostudies-literature
Unknown Taxonomic Classification for Living Organisms Using Convolutional Neural Networks.
| S-EPMC5704239 | biostudies-literature
Unknown Classification of Cancer Types Using Graph Convolutional Neural Networks
| S-EPMC7799442 | biostudies-literature
Unknown Genome annotation across species using deep convolutional neural networks.
| S-EPMC7924482 | biostudies-literature
Unknown A rotation and translation invariant method for 3D organ image classification using deep convolutional neural networks.
| S-EPMC7924426 | biostudies-literature