title: Automatic identification of fluorescently labeled brain cells for rapid functional imaging.
abstract: The on-line identification of labeled cells and vessels is a rate-limiting step in scanning microscopy. We use supervised learning to formulate an algorithm that rapidly and automatically tags fluorescently labeled somata in full-field images of cortex and constructs an optimized scan path through these cells. A single classifier works across multiple subjects, regions of the cortex of similar depth, and different magnification and contrast levels without the need to retrain the algorithm. Retraining only has to be performed when the morphological properties of the cells change significantly. In conjunction with two-photon laser scanning microscopy and bulk-labeling of cells in layers 2/3 of rat parietal cortex with a calcium indicator, we can automatically identify ∼ 50 cells within 1 min and sample them at ∼ 100 Hz with a signal-to-noise ratio of ∼ 10.
authors.affiliation: Dept. of Physics 0374, Univ. of California, 9500 Gilman Dr., La Jolla, CA 92093-0374, USA.
authors.forename: Ilya
authors.initials: I
authors.lastname: Valmianski
authors.forename: Andy Y
authors.initials: AY
authors.lastname: Shih
authors.forename: Jonathan D
authors.initials: JD
authors.lastname: Driscoll
authors.forename: David W
authors.initials: DW
authors.lastname: Matthews
authors.forename: Yoav
authors.initials: Y
authors.lastname: Freund
authors.forename: David
authors.initials: D
authors.lastname: Kleinfeld
mesh_terms: D000818:Animals; D005456:Fluorescent Dyes / Q000032:analysis*; D018613:Microscopy, Confocal / Q000379:methods*; D051381:Rats; D017207:Rats, Sprague-Dawley; D013003:Somatosensory Cortex / Q000737:chemistry* / Q000166:cytology* / Q000502:physiology; D013997:Time Factors
chemical_list: D005456:Fluorescent Dyes