Author

Kotaro Kelley

New York Structural Biology Center

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:cryo-EM· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Assay:imaging· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alex J. NobleiD· 1 shared Bonnie BergeriD· 1 shared Bridget CarragheriD· 1 shared Carl J. Negro· 1 shared Clinton S. PotteriD· 1 shared Edward T. EngiD· 1 shared Kelsey D. Jordan· 1 shared Mykhailo KopyloviD· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Alex J. NobleORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsNature CommunicationsPeer-reviewedOct 15, 2020

Topaz-Denoise: general deep denoising models for cryoEM and cryoET

Tristan Bepler, Kotaro Kelley, Alex J. Noble, Bonnie Berger

Topaz-Denoise improves cryoEM and cryoET image quality by increasing SNR, enabling faster analysis and solving previously elusive structures.

584 citationstop 1%

electronic health recordsdeep learning

𝕏 PostBluesky

BiophysicsbioRxivPreprintOct 24, 2018

The impact of data reduction and lossy image formats on electron microscope images

Edward T. Eng, Mykhailo Kopylov, Carl J. Negro…·Clinton S. Potter

This study examines how data compression and lossy image formats affect cryoEM reconstruction quality, finding that compressed data can still yield sub-2Å reconstructions.

DOI 10.1101/451427

𝕏 PostBluesky