Data for "High-resolution microCT reveals relationships between stomata and interior leaf anatomy in Sorghum"

Includes three different types of stacks, in two folders:
"REC_RAW_STACKS.zip" contains:
(1) Raw gray-scale reconstructed microCT x-ray scans, in the form of individual stacks per sample.
"ML_STACKS.zip" contains:
(2) Stacks that have been labeled using a machine-learning mask-RCNN pipeline identifying epidermis, mesophyll, airspace, vascular bundle, and background.
(3) Stacks that have stomata locations labeled using a small point.
The three types of stacks were used to calculate a variety of anatomical and physiological traits, using ImageJ Macros provided on Github: https://github.com/leakey-lab/microCT-Macros-Fischer. Young leaves from WT and transgenic Sorghum plants.
CSV "microCT_REC2_META.csv" contains metadata, including sample/sub-sample labels.