DART: A GUI Pipeline for Aligning Histological Brain Sections to 3D Atlases and Automating Laser Microdissection

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Authors: Rishi Koneru, Manjari M-G Anant, Hyopil Kim, Julian Chéron, Justus M. Kebschull
Cited by: 0
References: 13

Abstract

The precise dissection of anatomically defined brain regions is the basis of many workflows in neurobiology. Traditionally, brain regions of interest are defined by visual inspection of tissue sections, followed by manual dissection. Recently, laser capture microscopes have been employed for more accurate dissection, but region identification is still challenging. This paper presents an open-source software pipeline DART (Dissecting Atlas-Registered Tissue) that aligns histological brain sections to three-dimensional reference atlases and exports the resulting region-of-interest (ROI) contours for dissection by Leica Laser Microdissection (LMD) instruments. By integrating well-established image-processing libraries with a user-friendly graphical user interface, the software automates the traditionally time-consuming workflow of defining the boundaries of brain regions for dissection. With this pipeline, researchers can streamline tissue sampling for molecular analyses, while ensuring reproducibility and precision in ROI selection.

Fields of Study & Subjects

Cell Image Analysis Techniques Medical Image Segmentation Techniques Single-cell and spatial transcriptomics

Publication details

Journal / source
The Journal of Open Source Software
Volume
11
Issue
117
Pages
9109–9109
Publication date
14 January 2026
Language
EN