Accurate determination of marker location within whole-brain microscopy images.

Autor: Tyson AL; Sainsbury Wellcome Centre, University College London, London, UK., Vélez-Fort M; Sainsbury Wellcome Centre, University College London, London, UK., Rousseau CV; Sainsbury Wellcome Centre, University College London, London, UK.; Inserm, CNRS, Institut du Cerveau - Paris Brain Institute - ICM, Sorbonne Université, Paris, France., Cossell L; Sainsbury Wellcome Centre, University College London, London, UK., Tsitoura C; Sainsbury Wellcome Centre, University College London, London, UK., Lenzi SC; Sainsbury Wellcome Centre, University College London, London, UK., Obenhaus HA; Kavli Institute for Systems Neuroscience and Centre for Neural Computation, Norwegian University of Science and Technology, Trondheim, Norway., Claudi F; Sainsbury Wellcome Centre, University College London, London, UK., Branco T; Sainsbury Wellcome Centre, University College London, London, UK., Margrie TW; Sainsbury Wellcome Centre, University College London, London, UK. t.margrie@ucl.ac.uk.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2022 Jan 18; Vol. 12 (1), pp. 867. Date of Electronic Publication: 2022 Jan 18.
DOI: 10.1038/s41598-021-04676-9
Abstrakt: High-resolution whole-brain microscopy provides a means for post hoc determination of the location of implanted devices and labelled cell populations that are necessary to interpret in vivo experiments designed to understand brain function. Here we have developed two plugins (brainreg and brainreg-segment) for the Python-based image viewer napari, to accurately map any object in a common coordinate space. We analysed the position of dye-labelled electrode tracks and two-photon imaged cell populations expressing fluorescent proteins. The precise location of probes and cells were physiologically interrogated and revealed accurate segmentation with near-cellular resolution.
(© 2022. The Author(s).)
Databáze: MEDLINE
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