Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
Title:
Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
Author:
Stockwell, Simon R.
Personal Author:
Publication Information:
Cambridge, MA MyJoVE Corp 2016
Physical Description:
online resource (597 seconds)
Series:
Biology
General Note:
Title from resource description page
Abstract:
Presented is a flexible informatics workflow enabling multiplexed image-based analysis of fluorescently labeled cells. The workflow quantifies nuclear and cytoplasmic markers and computes marker translocation between these compartments. Procedures are provided for perturbation of cells using siRNA and reliable methodology for marker detection by indirect immunofluorescence in 96-well formats.
Reading Level:
For undergraduate, graduate, and professional students
Subject Term:
Electronic Access:
https://www.jove.com/t/51882