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Minerva: a light-weight, narrative image browser for multiplexed tissue images

John Hoffer, Rumana Rashid, Jeremy L. Muhlich, Yu‐An Chen, Douglas Russell, Juha Ruokonen, Robert Krueger, Hanspeter Pfister, Sandro Santagata, Peter K. Sorger

2020The Journal of Open Source Software38 citationsDOIOpen Access PDF

Abstract

cells, resulting in image files of terabyte size. However, the rich detail and multiscale properties of these images pose a substantial computational challenge (Rashid et al., 2020). See Rashid et al. (2020) for an comparison of existing visualization tools targeting these multiplexed tissue images.

Topics & Concepts

TerabyteComputer scienceContext (archaeology)MultiplexingVisualizationMicroscopyImage resolutionComputer graphics (images)Resolution (logic)Artificial intelligenceComputer visionPhysicsOpticsBiologyOperating systemPaleontologyTelecommunicationsSingle-cell and spatial transcriptomicsCell Image Analysis TechniquesAI in cancer detection
Minerva: a light-weight, narrative image browser for multiplexed tissue images | Litcius