A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A new multichannel method quantitating TUNEL in detached photoreceptor nuclei. | LitMetric

A new multichannel method quantitating TUNEL in detached photoreceptor nuclei.

Exp Eye Res

Havener Eye Institute, Department of Ophthalmology and Visual Science, The Ohio State University, Columbus, OH, USA. Electronic address:

Published: November 2018

AI Article Synopsis

  • Nuclear co-localization labels, crucial for ocular research, require effective quantitation methods to assess cell death, with the TUNEL assay being the standard for apoptosis detection.
  • A new ImageJ-based automated multichannel thresholding (MCT) method was developed, validated against established techniques in a retinal detachment model, showing strong correlation with minimal differences.
  • The MCT method demonstrated reliable performance compared to existing methods, providing a promising tool for accurate quantification of nuclear markers without staining issues.

Article Abstract

Nuclear co-localization labels are critical to ocular research. Among these, the TUNEL assay has been established as a gold standard of cell death and apoptosis. While several validated computer-based methods exist to quantitate these markers, including ImageJ Retina Analysis (RA) Toolkit and ImagePro, none verify the count with the nuclear counter stain to confirm nuclear co-localization. We established a new ImageJ-based automated multichannel thresholding (MCT) method to quantitate nuclear co-localized labeling. The MCT method was validated by comparing it with the two published TUNEL analysis in TUNEL-positive photoreceptors in an experimental retinal detachment (RD) model. RDs were induced in murine eyes and cross-sectional images of TUNEL and DAPI counter stain were obtained. Images were classified as "typical" or high density "hotspot" TUNEL regions (n = 10/group). Images were analyzed and compared between the MCT method and the published techniques including both "standard" and "high" settings of the RA Toolkit for detecting lower or higher TUNEL densities, respectively. Additional testing of the MCT method with built-in ImageJ thresholding algorithms was performed to produce fully automated measurements. All images were compared with Bland-Altman mean difference plots to assess the difference in counts and linear regression plots to assess correlation. Comparison between the MCT method and the ImagePro method were found to be well correlated (typical: R = 0.8972, hotspot: R = 0.9000) with minor to non-significant differences. The RA Toolkit settings were found to be mostly well correlated as well (standard/typical: R = 0.8036, standard/hotspot: R = 0.4309, high/typical: R = 0.7895, high/hotspot: R = 0.8738) but were often found to have significantly higher counts than the MCT. In conclusion, the MCT method compared favorably with validated computer-based methods of nuclear marker immunofluorescence quantitation and avoids staining artifacts through the incorporation of the nuclear counter stain to confirm positive cells.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215716PMC
http://dx.doi.org/10.1016/j.exer.2018.06.028DOI Listing

Publication Analysis

Top Keywords

mct method
24
counter stain
12
nuclear co-localization
8
validated computer-based
8
computer-based methods
8
nuclear counter
8
stain confirm
8
plots assess
8
well correlated
8
mct
7

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!