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Related Concept Videos

Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been developed.

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Related Experiment Video

Updated: Jun 5, 2026

Lensless Fluorescent Microscopy on a Chip
11:23

Lensless Fluorescent Microscopy on a Chip

Published on: August 17, 2011

Lensfree color imaging on a nanostructured chip using compressive decoding.

Bahar Khademhosseinieh, Gabriel Biener, Ikbal Sencan

    Applied Physics Letters
    |December 22, 2010
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a lensfree microscopy platform for subpixel color imaging. It uses a nanostructured substrate and compressive sampling to reconstruct multicolor images with high resolution.

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    Last Updated: Jun 5, 2026

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    Lensless On-chip Imaging of Cells Provides a New Tool for High-throughput Cell-Biology and Medical Diagnostics

    Published on: December 14, 2009

    Area of Science:

    • Optics and Photonics
    • Microscopy
    • Computational Imaging

    Background:

    • Traditional microscopy often requires complex optics and can be limited in resolution and color imaging capabilities.
    • On-chip microscopy offers miniaturization potential but faces challenges in achieving high-resolution color imaging.
    • Lensfree imaging modalities are being explored to overcome the limitations of conventional microscopes.

    Purpose of the Study:

    • To demonstrate subpixel level color imaging on a lensfree incoherent on-chip microscopy platform.
    • To develop a computational imaging approach for reconstructing multicolor object distributions.
    • To explore the potential of this platform for compact, color-capable fluorescent microscopy.

    Main Methods:

    • Utilized a nanostructured substrate to modulate incoherent light from the object plane.
    • Employed a color sensor-array with red, green, and blue (RGB) filters to sample far-field diffraction patterns.
    • Applied a compressive sampling algorithm for rapid reconstruction of multicolor object distributions at subpixel resolution.

    Main Results:

    • Achieved subpixel level color imaging capability on the lensfree microscopy platform.
    • Demonstrated the ability to reconstruct arbitrary multicolor incoherent object distributions.
    • Validated the effectiveness of the nanostructured substrate and compressive sampling for color imaging.

    Conclusions:

    • The developed lensfree computational imaging platform enables subpixel color imaging.
    • This technology holds promise for creating compact, color-capable on-chip fluorescent microscopes.
    • The approach offers a novel solution for high-resolution multicolor imaging in miniaturized systems.