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Multimodal Imaging and Spectroscopy Fiber-bundle Microendoscopy Platform for Non-invasive, In Vivo Tissue Analysis

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Fabrication and validation of an LED array microscope for multimodal, quantitative imaging.

Tarek E Moustafa¹, Edward R Polanco¹, Rachel L Belote²

¹Department of Chemical Engineering, University of Utah, Salt Lake City, UT, USA.

|February 9, 2023

Summary

Researchers developed a cost-effective, multimodal microscopy system for advanced biological imaging. This versatile microscope enables automated, multi-day experiments, offering new insights into cellular processes.

Keywords:

Calibration and validation Darkfield imaging LED array microscope Multimodal microscopy Quantitative phase imaging

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Multimodal Optical Imaging Platform for Studying Cellular Metabolism

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Published on: June 6, 2025

Area of Science:

Biotechnology
Microscopy
Optical Engineering

Background:

Combining multiple imaging modalities in microscopy can provide deeper insights into biological processes.
Existing systems can be costly and lack modularity.

Purpose of the Study:

To construct and characterize a custom, cost-effective multimodal microscopy system.
To offer a modular and versatile platform for advanced biological imaging.

Main Methods:

Utilized advances in LED technology, robotics, and open-source software (Arduino and Python).
Integrated existing optical components and precision optomechanical parts.
Developed methods for image validation in brightfield, darkfield, and differential phase contrast (DPC) quantitative phase imaging.

Main Results:

Successfully constructed and rigorously characterized a custom multimodal microscope.
Demonstrated the system's ability to perform automated, multi-day imaging experiments within a cell culture incubator.
Validated imaging methods for brightfield, darkfield, and DPC quantitative phase imaging.

Conclusions:

The developed system provides a cost-effective, modular, and versatile solution for multimodal biological imaging.
The microscope facilitates automated, long-term experiments, enhancing biological process investigation.
Validated imaging techniques ensure reliable data acquisition for various microscopy modalities.