Author

Ebba Bergman

Uppsala UniversityORCID 0000-0003-0484-6022Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Ankit GuptaiD· 1 shared Benjamin E. FreyiD· 1 shared Dan RoséniD· 1 shared David HolmbergiD· 1 shared Erik HallströmiD· 1 shared Håkan WieslanderiD· 1 shared Jonne RietdijkiD· 1 shared Jordi Carreras PuigvertiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperBioinformatics

Ankit GuptaORCID

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2 papers

Recent·Most cited

BioinformaticsArtificial Intelligence in the Life SciencesPeer-reviewedSep 23, 2026

Single-cell morphological profiling reveals insights into programmed cell death

Benjamin E. Frey, David Holmberg, Petter Bystrom…·Ola Spjuth

The paper compares single-cell and aggregated morphological profiling to identify programmed cell death mechanisms, finding aggregated data performs better in supervised models.

2 citationstop 4%

humanimaging

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BioinformaticsbioRxivPreprintJan 18, 2021

Learning to see colours: generating biologically relevant fluorescent labels from bright-field images

Håkan Wieslander, Ankit Gupta, Ebba Bergman…·Philip John Harrison

The paper generates fluorescent labels from bright-field images using deep learning to enable virtual staining of adipocyte cells, improving feature extraction for downstream analysis.

7 citations

imagingdeep learning

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