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Related Concept Videos

Immunofluorescence Microscopy01:12

Immunofluorescence Microscopy

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A fluorescence microscope uses fluorescent chromophores called fluorochromes, which can absorb energy from a light source and then emit this energy as visible light. Fluorochromes include naturally fluorescent substances (such as chlorophylls) and fluorescent stains that are added to the specimen to create contrast. Dyes such as Texas red and FITC are examples of fluorochromes. Other examples include the nucleic acid dyes 4’,6’-diamidino-2-phenylindole (DAPI), and acridine orange.
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Updated: Jun 5, 2025

Automated System for Single Molecule Fluorescence Measurements of Surface-immobilized Biomolecules
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Microfluidics-based automatic immunofluorescence staining for single-molecule localization microscopy.

Jun Dong1, Weibing Kuang2, Bing Shi1,3

  • 1State Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Sanya 572025, China.

Biomedical Optics Express
|December 16, 2024
PubMed
Summary
This summary is machine-generated.

We developed a low-cost automated immunofluorescence staining method using microfluidics (SRIF-fluidics) for single-molecule localization microscopy (SMLM). This technique significantly reduces sample preparation time and antibody usage, enabling high-throughput cellular imaging.

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Area of Science:

  • Cellular Imaging
  • Microscopy Techniques
  • Biotechnology

Background:

  • Single-molecule localization microscopy (SMLM) requires full automation for high-throughput cellular imaging.
  • Current SMLM automation is limited by the complex experimental operations of immunofluorescence (IF) staining.

Purpose of the Study:

  • To present a low-cost, automated method for IF staining to complement SMLM automation.
  • To enable efficient and consistent sample preparation for SMLM.

Main Methods:

  • Developed super-resolution immunofluorescence staining by microfluidics (SRIF-fluidics).
  • Applied SRIF-fluidics to both adherent and suspension cells for single-color and multi-color IF staining.
  • Compared SRIF-fluidics with manual IF staining protocols.

Main Results:

  • SRIF-fluidics reduced antibody consumption by approximately 75%.
  • Sample preparation time decreased from 5.6 hours (manual) to 2.5–4.4 hours.
  • Consistent imaging results were achieved without compromising sample labeling quality.

Conclusions:

  • SRIF-fluidics offers an efficient, automated solution for IF staining in SMLM.
  • This method facilitates high-throughput SMLM by addressing the bottleneck in sample preparation.
  • SRIF-fluidics is a valuable tool for advancing automated SMLM applications.