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Related Concept Videos

Confocal Fluorescence Microscopy

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

Total Internal Reflection Fluorescence Microscopy

Total Internal Reflection Fluorescence Microscopy

Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.

Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

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 developed.

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Related Experiment Video

Updated: May 18, 2026

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Published on: March 19, 2014

AQuA2-Cloud: a web platform for fluorescence bioimaging activity analysis.

Mark Bright¹, Xuelong Mi¹, Daniela Duarte²

¹Bradley Department of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, United States.

Biorxiv : the Preprint Server for Biology

|April 10, 2026

Summary

This summary is machine-generated.

AQuA2-Cloud is a new web platform that improves upon AQuA2 for biological imaging analysis. It offers cloud-based, multi-user access, overcoming computational demands and licensing barriers for advanced spatiotemporal activity quantification.

Keywords:

Bioimage analysis Calcium Imaging Cloud computing Spatiotemporal activity detection Web-based analysis platform

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Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

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Last Updated: May 18, 2026

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Rapid Analysis and Exploration of Fluorescence Microscopy Images

Published on: March 19, 2014

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy

Published on: January 18, 2017

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Substructure Analyzer: A User-Friendly Workflow for Rapid Exploration and Accurate Analysis of Cellular Bodies in Fluorescence Microscopy Images

Published on: July 15, 2020

Area of Science:

Bioimaging Analysis
Cellular Signaling
Computational Biology

Background:

Advanced biological imaging analysis platforms like Activity Quantification and Analysis (AQuA2) are crucial for studying cellular dynamics.
Existing tools face limitations in computational demand for long time-series data and require costly MATLAB licenses, hindering accessibility.
These limitations restrict large-scale deployment and broad adoption in research settings.

Purpose of the Study:

To develop an improved, accessible platform for spatiotemporal biological imaging analysis.
To overcome the computational and licensing barriers associated with existing tools like AQuA2.
To provide a cloud-native solution for multi-user, high-accuracy activity quantification.

Main Methods:

Designed and developed AQuA2-Cloud, a portable software stack and web platform.
Implemented container deployment for multi-user cloud-based analysis.
Integrated features for intuitive workflows, data export, and centralized organization.

Main Results:

AQuA2-Cloud offers comparable processing times to AQuA2 with enhanced accessibility.
The platform supports multi-user access, in-browser controls, and robust file management.
It successfully addresses the computational demands and licensing issues of previous AQuA2 versions.

Conclusions:

AQuA2-Cloud provides a cloud-native solution for centralizing spatiotemporal bioimaging data analysis.
It lowers software installation and licensing barriers, enabling researchers with minimal technical expertise to perform advanced analyses.
The platform maintains AQuA2's analytical capabilities while enhancing usability and accessibility.