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 sliced tissue sections are rarely perfectly parallel or angled with respect to sections in the reference atlas and organs from different individuals may vary in size and shape and requires manual annotation. With the advent of in situ sequencing technologies and automated approaches, it is now possible to profile the gene expression of targeted genes inside preserved tissue samples and thus spatially map biological processes across anatomical compartments.

Results

Here, we show how in situ s

SUBMITTER: Partel G 

PROVIDER: S-EPMC7574211 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature