Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Dual-color single-molecule localization microscopy with a sub-nanometer channel misalignment and sub-1% color crosstalk.

Optics express·2026

Same author

NanorulerQA: quantitative quality analysis of dual-color DNA nanorulers via single-molecule photobleaching step counting and spatio-temporal colocalization.

Biomedical optics express·2026

Same author

CC-DenseSTORM: deep learning enables colorimetry camera-based simultaneous two-color single-molecule localization microscopy with dense emitters.

Biomedical optics express·2026

Same author

Prognostic value of the triglyceride-glucose index for ICU mortality in non-diabetic sepsis: a restricted cubic spline analysis.

Frontiers in endocrinology·2026

Same author

IFITM1 is required for epithelial mesenchymal transition in airway remodeling of allergic asthma.

The World Allergy Organization journal·2026

Same author

Case report of stiff - person syndrome and literature review.

IBRO neuroscience reports·2026

Same journal

Denoising algorithm of Φ-OTDR systems based on adaptive fractional wavelet transform denoising.

Optics express·2026

Same journal

Millisecond photon-to-photon latency and high-speed volumetric projection system for optogenetics.

Optics express·2026

Same journal

Polarization-encoded coaxial structured light for high-precision 3D surface profilometry.

Optics express·2026

Same journal

Discrete freeform optical design based on collaborative optimization of point cloud and local normals.

Optics express·2026

Same journal

Ultrafast ghost imaging with 25 GHz speckle switching and wavelength-division multiplexing.

Optics express·2026

Same journal

Atomic vapor cells fabricated by femtosecond laser welding of standard-optical-quality glass.

Optics express·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 12, 2025

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Accelerating multi-emitter localization in super-resolution localization microscopy with FPGA-GPU cooperative

Dan Gui, Yunjiu Chen, Weibing Kuang

|November 23, 2021

Summary

This summary is machine-generated.

We developed HCP-STORM, a novel method combining FPGA and GPU computation for real-time multi-emitter localization in super-resolution microscopy. This accelerates processing for high-throughput scientific cameras, overcoming data storage challenges.

More Related Videos

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Related Experiment Videos

Last Updated: Oct 12, 2025

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

Published on: December 9, 2013

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells

Published on: June 30, 2018

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution

Published on: August 16, 2012

Area of Science:

Biophysics
Microscopy Technology
Computational Imaging

Background:

Super-resolution microscopy requires efficient multi-emitter localization for high-throughput applications.
Current GPU-based acceleration struggles with real-time processing for high-speed scientific cameras, causing data issues.
Existing methods face limitations with full frame rate operation of scientific complementary metal-oxide-semiconductor (sCMOS) cameras.

Purpose of the Study:

To enable real-time multi-emitter localization for high-throughput super-resolution localization microscopy (HT-SRLM).
To address the data storage challenges and system crashes associated with processing high-speed sCMOS camera data.
To investigate the cooperative acceleration of Field-Programmable Gate Array (FPGA) and Graphics Processing Unit (GPU) computation for enhanced localization speed.

Main Methods:

Proposed HCP-STORM, a method leveraging cooperative FPGA and GPU computation for multi-emitter localization.
Validated real-time processing capabilities using simulated images from a Hamamatsu Flash 4 V3 sCMOS camera at full frame rate.
Evaluated performance against existing methods like QC-STORM and ThunderSTORM using experimental data.

Main Results:

HCP-STORM achieved real-time image processing for sCMOS cameras operating at full frame rate (2048×2048 pixels @ 10 ms).
Experimental results demonstrated HCP-STORM is 25x faster than QC-STORM and 295x faster than ThunderSTORM.
A minor, acceptable degradation in image quality was observed compared to existing methods.

Conclusions:

FPGA-GPU cooperative computation offers significant potential for accelerating multi-emitter localization.
HCP-STORM represents a substantial advancement towards mature HT-SRLM technology.
The method effectively overcomes the real-time processing bottleneck for high-speed microscopy data acquisition.