Author

Aline Roch

University of Geneva

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

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Allen GoodmaniD· 1 shared Anne Elizabeth CarpenteriD· 1 shared Anne Wilson· 1 shared Claire McQuin· 1 shared Holger HennigiD· 1 shared Jason P. AckeriD· 1 shared Joseph A. SebastianiD· 1 shared Juan Carlos CaicedoiD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Allen GoodmanORCID

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1 paper

Recent·Most cited

Label-free assessment of red blood cell storage lesions by deep learning

Minh Doan, Joseph A. Sebastian, Juan Carlos Caicedo, Stefanie Siegert, Aline Roch, Tracey R. Turner, Olga O. Mykhailova, Ruben N. Pinto, Claire McQuin, Allen Goodman, Michael J. Parsons, Olaf Wolkenhauer A, Holger Hennig, Shantanu Singh, Anne Wilson, , Anne Elizabeth Carpenter

This study uses deep learning and label-free imaging flow cytometry to classify red blood cell morphologies during storage, achieving 90% accuracy and predicting expiration dates based on morphological changes.

Proceedings of the National Academy of Sciences · Aug 24, 2020Peer-reviewedBioinformatics