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Updated: Feb 19, 2026

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

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Published on: November 16, 2019

On-chip Microscopy Using Random Phase Mask Scheme.

Anwar Hussain^1,2, Yicheng Li¹, Diyi Liu¹

¹State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China.

Scientific Reports

|November 9, 2017

Summary

This summary is machine-generated.

This study introduces a novel multi-angle illumination method for lensless microscopy, significantly improving resolution and enabling fast, analytical image reconstruction without complex algorithms.

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Last Updated: Feb 19, 2026

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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:

Optics
Microscopy
Image Reconstruction

Background:

Lensless microscopy offers advantages in system simplicity and cost.
Traditional phase retrieval methods can be computationally intensive and prone to artifacts like the twin-image effect.

Purpose of the Study:

To develop a simple and novel phase-retrieval scheme for enhancing lensless microscopy resolution.
To achieve robust and fast image reconstruction in a lensless setup.

Main Methods:

Implementation of a multi-angle illumination technique with symmetrical light incidence.
Utilizing a random-phase mask to encode sample information.
A novel image processing approach involving subtraction and summation of multi-angle images followed by backpropagation.

Main Results:

Achieved a resolution of approximately 4 microns.
Obtained a large field-of-view of approximately 15 mm².
Successfully eliminated the twin-image effect and achieved a high signal-to-noise ratio.

Conclusions:

The developed multi-angle illumination phase-retrieval scheme provides a robust and efficient method for lensless microscopy.
The straightforward analytical reconstruction bypasses the need for iterative algorithms, making the system user-friendly.
This technique is suitable for applications requiring fast and high-resolution imaging in a lensless setup.