Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

A tool for analyzing electrode tracks from slice histology

View ORCID ProfilePhilip Shamash, View ORCID ProfileMatteo Carandini, Kenneth Harris, View ORCID ProfileNick Steinmetz
doi: https://doi.org/10.1101/447995
Philip Shamash
1Sainsbury Wellcome Centre, University College London (UCL), London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Philip Shamash
Matteo Carandini
2UCL Institute of Ophthalmology, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Matteo Carandini
Kenneth Harris
3UCL Institute of Neurology, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nick Steinmetz
2UCL Institute of Ophthalmology, London, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Nick Steinmetz
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

It is now possible to record from hundreds of neurons across multiple brain regions in a single electrophysiology experiment. An essential step in the ensuing data analysis is to assign recorded neurons to the correct brain regions. Brain regions are typically identified after the recordings by comparing images of brain slices to a reference atlas by eye. This introduces error, in particular when slices are not cut at a perfectly coronal angle or when electrode tracks span multiple slices. Here we introduce SHARP-Track, a tool to localize regions of interest and plot the brain regions they pass through. SHARP-Track offers a MATLAB user interface to explore the Allen Mouse Brain Atlas, register asymmetric slice images to the atlas using manual input, and interactively analyze electrode tracks. We find that it reduces error compared to localizing electrodes in a reference atlas by eye. See github.com/cortex-lab/allenCCF for the software and wiki.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted October 19, 2018.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A tool for analyzing electrode tracks from slice histology
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
A tool for analyzing electrode tracks from slice histology
Philip Shamash, Matteo Carandini, Kenneth Harris, Nick Steinmetz
bioRxiv 447995; doi: https://doi.org/10.1101/447995
Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
A tool for analyzing electrode tracks from slice histology
Philip Shamash, Matteo Carandini, Kenneth Harris, Nick Steinmetz
bioRxiv 447995; doi: https://doi.org/10.1101/447995

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (6022)
  • Biochemistry (13704)
  • Bioengineering (10432)
  • Bioinformatics (33143)
  • Biophysics (17099)
  • Cancer Biology (14172)
  • Cell Biology (20106)
  • Clinical Trials (138)
  • Developmental Biology (10866)
  • Ecology (16011)
  • Epidemiology (2067)
  • Evolutionary Biology (20337)
  • Genetics (13393)
  • Genomics (18630)
  • Immunology (13746)
  • Microbiology (32163)
  • Molecular Biology (13386)
  • Neuroscience (70049)
  • Paleontology (526)
  • Pathology (2188)
  • Pharmacology and Toxicology (3741)
  • Physiology (5861)
  • Plant Biology (12020)
  • Scientific Communication and Education (1814)
  • Synthetic Biology (3367)
  • Systems Biology (8163)
  • Zoology (1841)