{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T15:59:45Z","timestamp":1785427185281,"version":"3.56.0"},"reference-count":46,"publisher":"Optica Publishing Group","issue":"7","license":[{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/doi.org\/10.1364\/OA_License_v2#VOR-OA"},{"start":{"date-parts":[[2026,6,17]],"date-time":"2026-06-17T00:00:00Z","timestamp":1781654400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/opg.optica.org\/policies\/opg-tdm-policy.json"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of\n\t\t\t\t\t\tChina","doi-asserted-by":"crossref","award":["32171096"],"award-info":[{"award-number":["32171096"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"},{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of\n\t\t\t\t\t\tChina","doi-asserted-by":"crossref","award":["32127801"],"award-info":[{"award-number":["32127801"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"},{"id":"https:\/\/ror.org\/01h0zpd94","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":["opg.optica.org"],"crossmark-restriction":false},"short-container-title":["Biomed. Opt. Express"],"published-print":{"date-parts":[[2026,7,1]]},"abstract":"<jats:p>\n                    Two-photon Ca\n                    <jats:sup>2+<\/jats:sup>\n                    imaging enables large-scale recording\n\t\t\t\t\tof neuronal activity in vivo, yet reliable neuron segmentation remains\n\t\t\t\t\tchallenging in recordings with low contrast, densely packed neurons,\n\t\t\t\t\tand weak activity. Here, we present NeuroSeg-MF (Neuron Segmentation\n\t\t\t\t\twith Multi-feature Fusion), a framework that combines multi-feature\n\t\t\t\t\tfusion with the prompt-based segment anything model (SAM). NeuroSeg-MF\n\t\t\t\t\tintegrates multiple spatiotemporal features, including average\n\t\t\t\t\tprojection images, pseudo-depth maps, and correlation maps, to\n\t\t\t\t\tfacilitate precise neuron detection and subsequent SAM-based\n\t\t\t\t\tsegmentation. Experimental results demonstrate that multi-feature\n\t\t\t\t\tfusion enhances detection accuracy, while detection-guided SAM ensures\n\t\t\t\t\tprecise neuron segmentation. The proposed framework achieves robust\n\t\t\t\t\tperformance across multiple two-photon Ca\n                    <jats:sup>2+<\/jats:sup>\n                    imaging\n\t\t\t\t\tdatasets, thereby providing a practical solution for analyzing data\n\t\t\t\t\tunder challenging imaging conditions.\n                  <\/jats:p>","DOI":"10.1364\/boe.600665","type":"journal-article","created":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T08:00:10Z","timestamp":1781251210000},"page":"3727","update-policy":"https:\/\/doi.org\/10.1364\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["NeuroSeg-MF: robust neuron segmentation in two-photon Ca\n                    <sup>2+<\/sup>\n                    imaging using multi-feature fusion and detection-guided SAM"],"prefix":"10.1364","volume":"17","author":[{"given":"Zhehao","family":"Xu","sequence":"first","affiliation":[{"id":[{"id":"https:\/\/ror.org\/023rhb549","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weiyi","family":"Liu","sequence":"additional","affiliation":[{"name":"Third Military Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shanshan","family":"Liang","sequence":"additional","affiliation":[{"name":"Third Military Medical University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hongbo","family":"Jia","sequence":"additional","affiliation":[{"name":"Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences"},{"name":"Leibniz Institute for Neurobiology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaowei","family":"Chen","sequence":"additional","affiliation":[{"name":"Third Military Medical University"},{"name":"Guangyang Bay Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Qin","sequence":"additional","affiliation":[{"name":"Guangyang Bay Laboratory"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6324-5206","authenticated-orcid":true,"given":"Xiang","family":"Liao","sequence":"additional","affiliation":[{"id":[{"id":"https:\/\/ror.org\/023rhb549","id-type":"ROR","asserted-by":"publisher"}]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"285","published-online":{"date-parts":[[2026,6,17]]},"reference":[{"key":"boe-17-7-3727-R1","doi-asserted-by":"publisher","first-page":"932","DOI":"10.1038\/nmeth818","type":"journal-article","volume":"2","author":"Helmchen","year":"2005","journal-title":"Nat. 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