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Realizations from Stochastic Image Models of Some Features Seen in Fluorescence Microscopy

Dataset

Description

8-bit RGB realizations of a stochastic image model (SIM) of the **kinds** of things seen in fluorescence microscopy of biological samples. Note that no attempt was made to model a particular tissue, sample, or microscope. Distinct image features are seen in each color channel. The first public mention of these SIMs is in "Evaluation of Machine-generated Biomedical Images via A Tally-based Similarity Measure" by Frank Brooks and Rucha Deshpande. Manuscript on ArXiv and submitted for publication.
Date made availableMar 28 2025
PublisherUniversity of Illinois Urbana-Champaign

Keywords

  • image-to-image translation
  • generative model evaluation
  • training data
  • image models
  • fluorescence microscopy

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