{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/cell-identification-in-whole-brain-multiview","title":"Cell identification in whole-brain multiview images of neural activation","arxiv_id":"1511.01168","date":"2015-11-04","proceeding":null,"authors":["Marco Paciscopi","Ludovico Silvestri","Francesco Saverio Pavone","Paolo Frasconi"],"abstract":"We present a scalable method for brain cell identification in multiview\nconfocal light sheet microscopy images. Our algorithmic pipeline includes a\nhierarchical registration approach and a novel multiview version of semantic\ndeconvolution that simultaneously enhance visibility of fluorescent cell\nbodies, equalize their contrast, and fuses adjacent views into a single 3D\nimages on which cell identification is performed with mean shift.\n  We present empirical results on a whole-brain image of an adult Arc-dVenus\nmouse acquired at 4micron resolution. Based on an annotated test volume\ncontaining 3278 cells, our algorithm achieves an $F_1$ measure of 0.89.","url_abs":"http://arxiv.org/abs/1511.01168v1","url_pdf":"http://arxiv.org/pdf/1511.01168v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"cell-identification-in-whole-brain-multiview","repo_url":"https://github.com/paolo-f/bcfind","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"arc","task_name":"ARC"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}