Author

Isabella Camplisson

California Institute of TechnologyORCID 0000-0001-9653-2789Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Organism:human· 1

Frequent Co-Authors

Adam Kagel· 1 shared Alex KongiD· 1 shared Alexander Studier‐FischeriD· 1 shared Annette Kopp‐SchneideriD· 1 shared Beat Peter Müller-StichiD· 1 shared Berkin ÖzdemiriD· 1 shared Brianna J. McIntoshiD· 1 shared Caelán Max HaneyiD· 1 shared

Activity by Year

2021-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperBioinformatics

Adam Kagel

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2 papers

Recent·Most cited

Spectral organ fingerprints for intraoperative tissue classification with hyperspectral imaging

Alexander Studier‐Fischer, Silvia Seidlitz, Jan Sellner, Manuel Wiesenfarth, Leonardo A. Ayala, Berkin Özdemir, Jan Odenthal, Samuel Knödler, Karl‐Friedrich Kowalewski, Caelán Max Haney, Isabella Camplisson, Maximilian Dietrich, Karsten Schmidt, Gabriel Alexander Salg, Hannes Kenngott, , Felix Nickel

This paper develops a method using hyperspectral imaging and deep learning to classify tissues with high accuracy, showing that spectral variability is primarily due to tissue type.

bioRxiv · Nov 24, 2021 · PreprintBioinformatics

Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Noah F. Greenwald, Geneva Miller, Erick Moen, Alex Kong, Adam Kagel, Thomas Dougherty, Christine Camacho Fullaway, Brianna J. McIntosh, Ke Xuan Leow, Morgan Sarah Schwartz, Cole Pavelchek, Sunny Cui, Isabella Camplisson, Omer Bar-Tal, Jaiveer Singh, , David Van Valen

The paper introduces Mesmer, a deep learning algorithm for cell segmentation in tissue images, achieving human-level performance and enabling automated feature extraction.

Nature Biotechnology · Nov 18, 2021Peer-reviewedBioinformatics