Author

Kaupo Palo

PerkinElmer (Germany)ORCID 0000-0002-2957-4660Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Assay:imaging· 2 Approach:statistical model· 1

Frequent Co-Authors

Dmytro FishmaniD· 2 shared Leopold PartsiD· 2 shared Ago RinkeniD· 1 shared Alexander Schreiner· 1 shared Daniel MajoraliD· 1 shared Jan WildenhainiD· 1 shared Jane TorpiD· 1 shared Kaspar HolloiD· 1 shared

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2019-2022 · peak 1/yr

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10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Dmytro FishmanORCID

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2 papers

Recent·Most cited

BioinformaticsScientific ReportsPeer-reviewedJul 6, 2022

ArtSeg: Rapid Artifact Segmentation and Removal in Brightfield Cell Microscopy Images

Mohammed A. S. Ali, Kaspar Hollo, Tõnis Laasfeld…·Dmytro Fishman

ArtSeg uses a deep learning model to automatically segment and remove artifacts from brightfield microscopy images using image-level labels, improving downstream analysis without requiring pixel-level annotations.

12 citations

imagingdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintSep 10, 2019

Segmenting nuclei in brightfield images with neural networks

Dmytro Fishman, Sten‐Oliver Salumaa, Daniel Majoral…·Leopold Parts

This paper demonstrates accurate nucleus segmentation from brightfield images using deep learning, showing that three CNN architectures can achieve this with U-Net performing best.

7 citations

imagingdeep learning

𝕏 PostBluesky