{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T08:12:10Z","timestamp":1774167130464,"version":"3.50.1"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"1","license":[{"start":{"date-parts":[[2024,1,4]],"date-time":"2024-01-04T00:00:00Z","timestamp":1704326400000},"content-version":"vor","delay-in-days":3,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,2]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Motivation<\/jats:title>\n                    <jats:p>Ultra-multiplexed fluorescence imaging has revolutionized our understanding of biological systems, enabling the simultaneous visualization and quantification of multiple targets within biological specimens. A recent breakthrough in this field is PICASSO, a mutual-information-based technique capable of demixing up to 15 fluorophores without their spectra, thereby significantly simplifying the application of ultra-multiplexed fluorescence imaging. However, this study has identified a limitation of mutual information (MI)-based techniques. They do not differentiate between spatial colocalization and spectral mixing. Consequently, MI-based demixing may incorrectly interpret spatially co-localized targets as non-colocalized, leading to overcorrection.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>We found that selecting regions within a multiplex image with low-spatial similarity for measuring spectroscopic mixing results in more accurate demixing. This method effectively minimizes overcorrections and promises to accelerate the broader adoption of ultra-multiplex imaging.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Availability and implementation<\/jats:title>\n                    <jats:p>The codes are available at https:\/\/github.com\/xing-lab-pitt\/mosaic-picasso.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btad784","type":"journal-article","created":{"date-parts":[[2023,12,28]],"date-time":"2023-12-28T19:10:51Z","timestamp":1703790651000},"source":"Crossref","is-referenced-by-count":9,"title":["Mosaic-PICASSO: accurate crosstalk removal for multiplex fluorescence imaging"],"prefix":"10.1093","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7096-2905","authenticated-orcid":false,"given":"Hu","family":"Cang","sequence":"first","affiliation":[{"name":"San Diego , CA 92172-721234, United States"}]},{"given":"Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"Departments of Medicine and Bioengineering, University of Pittsburgh , Pittsburgh, PA 15213, United States"},{"name":"University of Pittsburgh Hillman Cancer Center , Pittsburgh, PA 15213, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3700-8765","authenticated-orcid":false,"given":"Jianhua","family":"Xing","sequence":"additional","affiliation":[{"name":"University of Pittsburgh Hillman Cancer Center , Pittsburgh, PA 15213, United States"},{"name":"Department of Computational and Systems Biology, University of Pittsburgh , Pittsburgh, PA 15213, United States"},{"name":"Department of Physics and Astronomy, University of Pittsburgh , Pittsburgh, PA 15213, United States"}]}],"member":"286","published-online":{"date-parts":[[2024,1,4]]},"reference":[{"key":"2024011104285273700_btad784-B1","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1214\/aoms\/1177729747","article-title":"Analysis of extreme values","volume":"21","author":"Dixon","year":"1950","journal-title":"Ann. 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