Virtual reality-empowered deep-learning analysis of brain cells

D Kaltenecker, R Al-Maskari, M Negwer, L Hoeher… - Nature …, 2024 - nature.com
Automated detection of specific cells in three-dimensional datasets such as whole-brain light-
sheet image stacks is challenging. Here, we present DELiVR, a virtual reality-trained deep …

[HTML][HTML] An arginine-rich nuclear localization signal (ArgiNLS) strategy for streamlined image segmentation of single-cells

ER Szelenyi, JS Navarrete, AD Murry, Y Zhang… - bioRxiv, 2023 - ncbi.nlm.nih.gov
High-throughput volumetric fluorescent microscopy pipelines can spatially integrate whole-
brain structure and function at the foundational level of single-cells. However, conventional …

The ANTsX Ecosystem for Mapping the Mouse Brain

NJ Tustison, M Chen, FN Kronman, JT Duda, C Gamlin… - bioRxiv, 2024 - biorxiv.org
Precision mapping techniques coupled with high resolution image acquisition of the mouse
brain permit the study of the spatial organization of gene expression and their mutual …

Virtual reality empowered deep learning analysis of brain activity

D Kaltenecker, R Al-Maskari, M Negwer, L Hoeher… - bioRxiv, 2023 - biorxiv.org
Tissue clearing and fluorescent microscopy are powerful tools for unbiased organ-scale
protein expression studies. Critical for interpreting expression patterns of large imaged …

ClearFinder: a Python GUI for annotating cells in cleared mouse brain

S Pastore, P Hillenbrand, N Molnar, I Kovlyagina… - bioRxiv, 2024 - biorxiv.org
Background: Tissue clearing combined with light-sheet microscopy is gaining popularity
among neuroscientists interested in unbiased assessment of their samples in 3D volume …