Author

Yinhai Wang

AstraZeneca (United Kingdom)ORCID 0000-0002-3671-4932Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:deep learning· 2 Assay:imaging· 2

Frequent Co-Authors

Carola‐Bibiane SchönliebiD· 1 shared David HargreavesiD· 1 shared Elizabeth MouchetiD· 1 shared Guy B. WilliamsiD· 1 shared Jamie MilneiD· 1 shared Jan Cross-ZamirskiiD· 1 shared Julie C. WilsoniD· 1 shared Qian CheniD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperBioinformatics

Carola‐Bibiane SchönliebORCID

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2 papers

Recent·Most cited

Not getting in too deep: a practical deep learning approach to routine crystallisation image classification

Jamie Milne, Qian Chen, David Hargreaves, Yinhai Wang, Julie C. Wilson

The paper compares four deep-learning architectures for classifying crystallisation images, showing an ensemble approach achieves 94% accuracy in categorizing experimental outcomes.

PLoS ONE · Mar 9, 2023Peer-reviewedMolecular Biology

Label-free prediction of Cell Painting from brightfield images

Jan Cross-Zamirski, Elizabeth Mouchet, Guy B. Williams, Carola‐Bibiane Schönlieb, Riku Turkki, Yinhai Wang

This study predicts fluorescent Cell Painting images from brightfield images using deep learning, achieving high correlation and demonstrating potential for downstream analysis and repurposing imaging channels.

Scientific Reports · Jun 15, 2022Peer-reviewedBioinformatics