Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Super-resolution Fluorescence Microscopy

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...

Imaging Biological Samples with Optical Microscopy

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Lighting effects on optimal facial regions for remote heart rate measurement.

NPJ cardiovascular health·2026

Same author

Image Restoration Learning via Noisy Supervision in Fourier Domain.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same author

EventTracer: Fast Path Tracing-Based Event Stream Rendering.

IEEE transactions on visualization and computer graphics·2026

Same author

Seasonal Divergence between Microbiomes on Microplastics and Natural Particles Increases with Rising Water Temperatures in Urban Rivers.

Environmental science & technology·2026

Same author

Roadmap of remote photoplethysmography from heart rate measurement toward clinical translation.

NPJ digital medicine·2026

Same author

Dark-EvGS: Event Camera as an Eye for Radiance Field in the Dark.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026

Same journal

Gaussian-modulated continuous-variable quantum key distribution over 60 km fiber using an integrated silicon photonic receiver.

Optics letters·2026

Same journal

E2E-OCT: end-to-end joint learning model using optical coherence tomography images for vocal cord leukoplakia diagnosis.

Optics letters·2026

Same journal

Holographic generation of panoramic 3D scenes by concave ellipsoidal mirror reflection.

Optics letters·2026

Same journal

Dual-pilot phase recovery with pair-wise maximum-ratio combining for coherent PONs.

Optics letters·2026

Same journal

Mapping the whispering gallery modes of a CaF<sub>2</sub> disk resonator with half-tapered fibers to estimate the fundamental mode volume.

Optics letters·2026

Same journal

Quantitative estimation of deep-subwavelength scale via dark-field scattering axial energy concentration decay profiles.

Optics letters·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 28, 2025

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

Differentiable pixel-super-resolution lensless imaging.

Ni Chen, Edmund Y Lam

|February 14, 2025

Summary

This summary is machine-generated.

We developed a new differentiable pixel-super-resolution (dPSR) technique for lensless imaging. This method unifies multiple steps, improving accuracy and resolution for practical microscopy applications.

More Related Videos

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Published on: September 8, 2017

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Related Experiment Videos

Last Updated: May 28, 2025

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

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Demonstration of a Hyperlens-integrated Microscope and Super-resolution Imaging

Published on: September 8, 2017

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

Area of Science:

Microscopy
Optical Imaging
Computational Imaging

Background:

Conventional lensless imaging systems often require complex phase diversity measurements and sequential processing.
These limitations hinder the practical application of compact lensless imaging designs.

Purpose of the Study:

To present a unified, differentiable end-to-end pixel-super-resolution (dPSR) technique for lensless imaging.
To eliminate the need for phase diversity measurements and reduce error accumulation in sequential processing.

Main Methods:

Developed a differentiable end-to-end pixel-super-resolution (dPSR) technique.
Integrated hologram synthesis, autofocusing, and complex-field reconstruction into a single optimization framework.
Jointly optimized traditionally separate processes to enhance performance.

Main Results:

Achieved superior position estimation accuracy (mean error 0.0282 pixels vs. 0.1172 pixels).
Enabled precise autofocusing with accuracy better than 0.3 µm.
Demonstrated a twofold resolution enhancement beyond the sensor's native pixel size.

Conclusions:

The dPSR technique offers a practical solution for high-resolution microscopy.
Validated performance through simulations and experiments, including phase objects and label-free cell imaging.
Eliminates phase diversity requirements and sequential processing errors for improved lensless imaging.