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Confocal Fluorescence Microscopy

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Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

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Related Experiment Video

Updated: May 2, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers

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A Compact Fluorescence System for Tumor Detection: Performance and Integration Potential.

Jean Pierre Ndabakuranye¹, John Raschke¹, Preston Avagiannis¹

¹School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.

|February 25, 2025

Summary

This summary is machine-generated.

A new miniaturized fluorescence detection system improves brain tumor localization during surgery. This compact device enhances intraoperative tumor visualization and aids in more accurate tumor resection outcomes.

Keywords:

CMOS color sensors biosensor brain tumor fluorescence-guided surgery (FGS)miniaturization

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Fluorescence-mediated Tomography for the Detection and Quantification of Macrophage-related Murine Intestinal Inflammation

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Published on: December 15, 2017

Area of Science:

Medical imaging
Biomedical engineering
Surgical technology

Background:

Fluorescence-guided surgery (FGS) enhances tumor localization but faces challenges with bulky equipment.
Current advanced spectral and imaging tools lack miniaturization, limiting their surgical application.

Purpose of the Study:

To develop a miniaturized fluorescence detection system for improved brain tumor localization.
To overcome the limitations of current FGS tools by creating a compact, practical solution.

Main Methods:

Developed a 3.1 × 3 mm multispectral sensor platform using CMOS color sensors.
Measured fluorescence intensity ratios at 635 nm and 514 nm for high-resolution mapping.
Validated system accuracy against standard benchtop spectrometers (R2 > 0.98).

Main Results:

Achieved high correlation (R2 > 0.98) with benchtop spectrometers, confirming accuracy.
Generated high-resolution fluorescence distribution maps for real-time, on-chip detection.
Demonstrated the system's compact size suitable for integration with surgical tools.

Conclusions:

The miniaturized system offers accurate, real-time fluorescence detection for brain tumor localization.
Its compact design facilitates integration into handheld surgical tools, enhancing intraoperative visualization.
This technology has the potential to significantly improve tumor resection outcomes.