Aligning Science Across Parkinson's Logo Text

Python script for analyzing Prairie View 5-generated .csv files of BOT imaging data

By Shenyu Zhai, PhD
View Published Code

Output Details

Description
Python script for analyzing Prairie View 5-generated .csv files of BOT imaging data in Figures 5 and S2 of Zhai et al 2025.
Identifier (DOI)
10.5281/zenodo.14163730
Tags
  • Analysis
Team
Team Surmeier
Program
Collaborative Research Network
Theme
Circuitry and Brain-Body Interactions

Meet the Authors

  • User avatar fallback logo

    Shenyu Zhai, PhD

    Key Personnel: Team Surmeier, 

    Northwestern University

Related Research

scAlleleExpression: R package for downstream analysis of allele specific expression single cell data

An R package for investigating Cell Type specific regulatory genetics using single cell or nuclei allele specific expression data. It loads ASE pipeline output, performs ASE analysis, and works with various ASE pipelines.

View Code

CD8 Cell Density In Substantia Nigra And Cerebral Peduncle Image Analysi

QuPath is a bioimage analysis software designed for digital pathology and whole slide image analysis. This protocol describes how to measure CD8 density in the substantia nigra and cerebral peduncle using haematoxylin and DAB-stained brain sections.

View Protocol

Image processing to investigate NEMO recruitment and involvement in mitophagy and inflammatory signaling

Extensive image processing techniques were used to analyze cellular mechanisms, including deconvolution, machine learning, and manual identification of structures. Creative approaches were employed to ensure reliable and reproducible results.

View Protocol
View More Outputs
Aligning Science Across Parkinson's
Powered by  GDPR Cookie Compliance
Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.