Waiting
Processando Login

Trial ends in Request Full Access Tell Your Colleague About Jove
Journal / Biology / Workflow for High-content, Individual Cell…
JoVE Journal
Biology

This Conteúdo is Open Access.

JoVE Journal Biology
Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software
 

Workflow for High-content, Individual Cell Quantification of Fluorescent Markers from Universal Microscope Data, Supported by Open Source Software

Article DOI: 10.3791/51882-v • 09:57 min • December 16th, 2014
December 16th, 2014 •
1, 1
1Cancer Biology, UCL Cancer Institute

Capítulos

Resumo
Automatic Translation

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.

Tags

Keywords: Cell Quantification Fluorescent Markers High-content Microscopy Single-cell Analysis Cell Heterogeneity Cell Profiler Open-source Software Subcellular Segmentation SiRNA Screen G1 Checkpoint Regulators Cell Perturbation Fluorescence-based Cellular Markers
Read Article

Get cutting-edge science videos from JoVE sent straight to your inbox every month.

Waiting X
Simple Hit Counter