Article ; Online: MIM-CyCIF: masked imaging modeling for enhancing cyclic immunofluorescence (CyCIF) with panel reduction and imputation.
Communications biology
2024 Volume 7, Issue 1, Page(s) 409
Abstract: Cyclic Immunofluorescence (CyCIF) can quantify multiple biomarkers, but panel capacity is limited by technical challenges. We propose a computational panel reduction approach that can impute the information content from 25 markers using only 9 markers, ... ...
Abstract | Cyclic Immunofluorescence (CyCIF) can quantify multiple biomarkers, but panel capacity is limited by technical challenges. We propose a computational panel reduction approach that can impute the information content from 25 markers using only 9 markers, learning co-expression and morphological patterns while concurrently increasing speed and panel content and decreasing cost. We demonstrate strong correlations in predictions and generalizability across breast and colorectal cancer, illustrating applicability of our approach to diverse tissue types. |
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MeSH term(s) | Fluorescent Antibody Technique ; Diagnostic Imaging |
Language | English |
Publishing date | 2024-04-03 |
Publishing country | England |
Document type | Journal Article |
ISSN | 2399-3642 |
ISSN (online) | 2399-3642 |
DOI | 10.1038/s42003-024-06110-y |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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