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Simultaneous Multicolor Imaging of Biological Structures with Fluorescence Photoactivation Localization Microscopy

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Published on: December 9, 2013

High-Resolution Lensless Microscopy Imaging Based on Fluorescence Intermittency.

Zhiping Zeng¹, Xinyi Chen¹, Biqing Xu¹

¹College of Physics and Information Engineering, Fuzhou University, Fuzhou, China.

Journal of Biophotonics

|April 21, 2025

Summary

This summary is machine-generated.

This study introduces a lensless imaging microscopy technique that enhances spatial resolution by combining a phase mask, CMOS sensor, and fluorescence fluctuation super-resolution microscopy (FF-SRM) algorithms. The method achieves high-resolution imaging of subcellular organelles with improved simplicity and affordability.

Keywords:

fluorescence intermittency lensless imaging multi‐algorithm synergy super‐resolution reconstruction

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Lensless Fluorescent Microscopy on a Chip

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Area of Science:

Biophysics
Microscopy
Optical Engineering

Background:

Lensless imaging microscopy offers system compactness and cost-efficiency but typically has lower spatial resolution than lens-based systems.
Enhancing the spatial resolution of lensless microscopy is crucial for detailed biological imaging.

Purpose of the Study:

To develop a lensless imaging system with enhanced spatial resolution for visualizing subcellular structures.
To leverage fluorescence intermittency (FI) and super-resolution algorithms for improved lensless imaging.

Main Methods:

Integrated a phase mask and CMOS image sensor into a lensless imaging system.
Employed fluorescence fluctuation super-resolution microscopy (FF-SRM) algorithms to analyze fluorescence intermittency (FI).
Utilized Wiener deconvolution for image sequence processing and combined with expansion microscopy (ExM) and multi-algorithm synergy.

Main Results:

Lensless image sequences processed with Wiener deconvolution effectively retained FI information for FF-SRM reconstruction.
Achieved significant improvements in spatial resolution and image quality for lensless imaging.
Enabled clear visualization of biological subcellular organelles.

Conclusions:

The developed lensless imaging scheme significantly enhances spatial resolution through FF-SRM and FI analysis.
Combining ExM and multi-algorithm synergy further boosts resolution and image quality.
This approach provides a simple, affordable, and effective pathway for high-resolution lensless imaging.