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Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

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Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
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Related Experiment Video

Updated: Apr 27, 2026

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
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Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

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Adaptive fluorescence microscopy by online feedback image analysis.

Christian Tischer1, Volker Hilsenstein1, Kirsten Hanson2

  • 1European Molecular Biology Laboratory, Heidelberg, Germany.

Methods in Cell Biology
|June 30, 2014
PubMed
Summary
This summary is machine-generated.

Automated fluorescence microscopy with online image analysis streamlines specimen identification and acquisition. This method enhances high-throughput 3D imaging and quantifies protein turnover, improving experimental efficiency.

Keywords:
Fluorescence microscopyautomationfluorescence recovery after photobleaching (FRAP)high throughput microscopyimage analysissiRNA screeningsystems biology

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Area of Science:

  • Cell Biology
  • Microscopy Techniques
  • Biophysics

Background:

  • Manual specimen selection in quantitative fluorescence microscopy is time-consuming.
  • Automated workflows are needed to improve efficiency and data acquisition.

Purpose of the Study:

  • To describe requirements and software for automated online feedback microscopy.
  • To demonstrate applications in high-throughput imaging and protein turnover quantification.

Main Methods:

  • Integrated fluorescence microscopy with online image analysis for automated specimen identification and location.
  • Developed microscope control and image analysis software solutions.
  • Applied the method to 3D imaging of infected cells and fluorescence recovery after photobleaching (FRAP) experiments.

Main Results:

  • Successfully implemented automated online feedback microscopy.
  • Demonstrated high-throughput 3D imaging of sparsely infected cells.
  • Quantified vesicular coat protein turnover at ER exit sites using automated FRAP.

Conclusions:

  • Automated online feedback microscopy significantly enhances experimental efficiency.
  • The method enables robust high-throughput quantitative analysis in cell biology.
  • This approach is valuable for studying dynamic cellular processes and disease models.