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Related Experiment Video

Updated: May 4, 2026

High-resolution Volume Imaging of Neurons by the Use of Fluorescence eXclusion Method and Dedicated Microfluidic Devices
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Lensless fluorescence imaging with height calculation.

Akshaya Shanmugam, Christopher Salthouse

    Journal of Biomedical Optics
    |January 7, 2014
    PubMed
    Summary
    This summary is machine-generated.

    Lensless fluorescence imaging (LFI) can detect samples and estimate their distance from the sensor. This technique uses fluorescence imaging without lenses, applicable to lab-on-a-chip devices.

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    Area of Science:

    • Biomedical Engineering
    • Optical Imaging
    • Microfluidics

    Background:

    • Lensless fluorescence imaging (LFI) offers a simple hardware alternative to traditional fluorescence microscopes and flow cytometers.
    • LFI is particularly suited for lab-on-a-chip applications due to its hardware simplicity.
    • Image quality in LFI is significantly influenced by the sample-sensor separation distance.

    Purpose of the Study:

    • To demonstrate accurate sample detection using LFI across various sample-sensor separations.
    • To develop and validate a method for estimating sample-sensor separation from LFI images.
    • To present a theoretical model for predicting LFI images of microspheres.

    Main Methods:

    • Development of a theoretical model to predict LFI images of microspheres.
    • Experimental validation of the theoretical model.
    • Implementation of an image processing technique to estimate sample-sensor separation.
    • Acquisition of LFI images of microspheres and cells in a microfluidic channel.

    Main Results:

    • Accurate detection of samples across a range of sample-sensor separations was achieved using LFI.
    • A novel image processing method accurately estimates sample-sensor separation based on fluorescence image shape.
    • The theoretical model effectively predicts LFI images, aligning well with experimental data.

    Conclusions:

    • LFI is a robust technique capable of both detecting samples and quantifying their distance from the sensor.
    • The developed method enhances the utility of LFI in lab-on-a-chip applications by providing crucial spatial information.
    • This work advances LFI technology for precise biological and microsphere analysis in microfluidic systems.