Automated identification of the mouse brain’s spatial compartments from in situ sequencing data
Abstract Background Neuroanatomical compartments of the mouse brain are identified and outlined mainly based on manual annotations of samples using features related to tissue and cellular morphology, taking advantage of publicly available reference atlases. However, this task is challenging since sl...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-10-01
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Series: | BMC Biology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12915-020-00874-5 |