Protocol for open-source automated universal high-content multiplex fluorescence for RNA in situ analysis Show others and affiliations
2024 (English) In: STAR Protocols, E-ISSN 2666-1667, Vol. 5, no 4, article id 103508Article in journal (Refereed) Published
Abstract [en]
In situ hybridization visualizes RNA in cells, but image analysis is complex. We present a protocol based on open-source software for automated high-content multiplex fluorescence in situ transcriptomics analysis. Steps include nuclei segmentation with a Fiji macro and quantification of up to 14 mRNA probes per image. We describe procedures for storing raw data, quality control images, and the use of a Python app to summarize all the results in one spreadsheet detailing the number of single or co-positive cells.
Place, publisher, year, edition, pages Elsevier, 2024. Vol. 5, no 4, article id 103508
Keywords [en]
cell biology, health sciences, in situ hybridization
National Category
Cell and Molecular Biology Medical Imaging
Identifiers URN: urn:nbn:se:umu:diva-232964 DOI: 10.1016/j.xpro.2024.103508 ISI: 001375026800001 PubMedID: 39644494 Scopus ID: 2-s2.0-85211160702 OAI: oai:DiVA.org:umu-232964 DiVA, id: diva2:1924828
Funder Swedish Research Council, 2021-00960 Swedish Cancer Society, 23 2814 Pj The Kempe Foundations, 2021 JCK-3110 Cancerforskningsfonden i Norrland, AMP20-993 Lions Cancerforskningsfond i Norr, LP 22-2306 Lions Cancerforskningsfond i Norr, LP 24-2357 2025-01-072025-01-072025-08-28 Bibliographically approved