Author

J. Hoffer

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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Cell Biology· 2 Scientific Communication & Education· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Assay:imaging· 2 Research Focus:software / tool· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:database / resource· 1

Frequent Co-Authors

H. Pfister· 3 shared J. L. Muhlich· 3 shared R. Krueger· 3 shared P. K. Sorger· 2 shared S. Santagata· 2 shared S. Warchol· 2 shared A. J. Nirmal· 1 shared C. C. Ritch· 1 shared

Activity by Year

2020-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersCell Biology

H. Pfister

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Author profile →

3 papers

Recent·Most cited

psudo: Exploring Multi-Channel Biomedical Image Data with Spatially and Perceptually Optimized Pseudocoloring

S. Warchol, J. Troidl, J. L. Muhlich, R. Krueger, J. Hoffer, T. Lin, J. Beyer, E. Glassman, P. K. Sorger, H. Pfister

psudo is an interactive system that optimizes pseudocolor palettes for multichannel biomedical images to enhance perceptual distinction and reduce color confusion in overlapping channels.

bioRxiv · Apr 11, 2024Cell Biology

Visinity: Visual Spatial Neighborhood Analysis for Multiplexed Tissue Imaging Data

S. Warchol, R. Krueger, A. J. Nirmal, G. Gaglia, J. Jessup, C. C. Ritch, J. Hoffer, J. L. Muhlich, M. Burger, T. L. Jacks, S. Santagata, P. K. Sorger, H. Pfister

Visinity analyzes spatial cell interactions in multiplexed tissue images to identify biological processes and immune-tumor interactions.

bioRxiv · May 9, 2022Cell Biology

Online narrative guides for illuminating tissue atlas data and digital pathology images

R. Rashid, Y.-A. Chen, J. Hoffer, J. L. Muhlich, J.-R. Lin, R. Krueger, H. Pfister, R. Mitchell, S. Santagata, P. Sorger

The paper discusses the need for interactive guides to help interpret complex tissue atlas data and digital pathology images, using Minerva software as an example.

bioRxiv · Mar 27, 2020 · PreprintScientific Communication & Education