Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues: source data

This repository provides the numerical source data for the Communications Biology publication ‘Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues’ by Di Meo, Sorelli et al.The dataset is organized into the following folders:Figure4: numerical source data for the boxplots and probability density distributions presented in Figure 4 (Quantitative cytoarchitectural analysis of pediatric human brain specimens).LSFM_data: light-sheet fluorescence microscopy (LSFM) data, including maximum intensity projections of multichannel LSFM acquisitions.TPFM_data: two-photon fluorescence microscopy (TPFM) data, further structured into the following subfolders:raw_tpfm: raw tiled TPFM tissue reconstructionspixel_classification: outputs from ilastik’s pixel classification workflow (supervised machine learning–based image enhancement).object_classification: outputs from ilastik’s object classification workflow, including class-wise object masks and quantitative cellular features.