# \# cells per cluster

**URL:** <https://community.brain-map.org/t/cells-per-cluster/2888>\
**Category:** Allen Brain Cell (ABC) Atlas\
**Tags:** atlas-cell-types\
**Created:** [January 9, 2024, 4:53pm UTC](https://community.brain-map.org/t/cells-per-cluster/2888 "2024-01-09T16:53:15Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![susant](https://avatars.discourse-cdn.com/v4/letter/s/13edae/32.png) [@susant](https://community.brain-map.org/u/susant)\
**Post date:** [January 9, 2024, 4:53pm UTC](https://community.brain-map.org/t/cells-per-cluster/2888/1 "2024-01-09T16:53:15Z")

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trying to estimate the relative prevalence of particular cell types (clusters) in a given brain region. I have downloaded the cluster ID’s and can look them up in Supplemental Table 7 in Yao (or cl.df.CCN202307220). Would the best columns to use be v3.size & v2.size (perhaps a sum)?

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**Author:** ![zizheny](https://avatars.discourse-cdn.com/v4/letter/z/f9ae1b/32.png) [@zizheny](https://community.brain-map.org/u/zizheny)\
**Post date:** [January 16, 2024, 10:16pm UTC](https://community.brain-map.org/t/cells-per-cluster/2888/2 "2024-01-16T22:16:39Z")

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As we didn’t profile many regions in 10X v2, it’s the best to use v3.size. However, even in 10x v3, we didn’t have even sampling of all the areas. The estimate should be quite reasonable within each class. You can also check the cell number based on MERFISH

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**Author:** ![susant](https://avatars.discourse-cdn.com/v4/letter/s/13edae/32.png) [@susant](https://community.brain-map.org/u/susant)\
**Post date:** [January 16, 2024, 11:41pm UTC](https://community.brain-map.org/t/cells-per-cluster/2888/3 "2024-01-16T23:41:04Z")

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Thank you!