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. |
Subject |
Technology and Engineering |
Keywords |
image models; fluorescence microscopy; training data; image-to-image translation; generative model evaluation |
License |
See license.txt file in dataset. |
Funder |
U.S. National Institutes of Health (NIH)-Grant:P41EB031772 |
Corresponding Creator |
Frank Brooks |
Downloaded |
516 times |
| Version | DOI | Comment | Publication Date |
|---|---|---|---|
| 1 | 10.13012/B2IDB-2642688_V1 | 2025-03-28 |
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| Dataset | update: {"version_comment"=>[nil, ""], "subject"=>[nil, "Technology and Engineering"], "external_files_link"=>[nil, ""], "external_files_note"=>[nil, ""]} | 2025-07-16T20:30:36Z |