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...

Confocal Fluorescence Microscopy

Confocal Fluorescence Microscopy

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,...

You might also read

Related Articles

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

Sort by

Same author

Lymphoma classification with multi-parametric texture analysis of DWI and PET imaging in Hodgkin and non-Hodgkin lymphoma: a pilot study.

Magma (New York, N.Y.)·2025

Same author

Design of a single lens wavefront coded infrared camera.

Applied optics·2025

Same author

Reproducibility of spatial penalty-based methodologies for intravoxel incoherent motion analysis with diffusion MRI.

Scientific reports·2024

Same author

Twin-stagnation-free phase retrieval with vortex phase illumination.

Journal of the Optical Society of America. A, Optics, image science, and vision·2024

Same author

Deeper Insights into Mixed Crowding through Enzyme Activity, Dynamics, and Crowder Diffusion.

The journal of physical chemistry. B·2024

Same author

Carrier-frequency estimation for digital holograms of phase objects.

Applied optics·2024

Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026

Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026

Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026

Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026

Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026

Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 16, 2025

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

Single-shot extended field of view imaging using point spread function engineering.

Ritika Malik, Kedar Khare

Journal of the Optical Society of America. A, Optics, Image Science, and Vision

|September 14, 2023

Summary

This summary is machine-generated.

This study introduces a novel computational imaging system that uses pupil phase engineering to achieve an extended field of view (eFOV). The system decodes scrambled raw images via sparse optimization, enabling a 4x pixel gain without sacrificing spatial resolution.

More Related Videos

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Related Experiment Videos

Last Updated: Jul 16, 2025

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

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Conducting Multiple Imaging Modes with One Fluorescence Microscope

Published on: October 28, 2018

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Area of Science:

Computational Imaging
Optical Engineering
Image Reconstruction

Background:

Traditional optical systems are limited by physical sensor boundaries.
Extending the field of view (FOV) is a significant challenge in imaging.

Purpose of the Study:

To develop a single-shot computational imaging system for extending the field of view (FOV) beyond physical sensor limits.
To analyze the design trade-offs of a multiple-point impulse response (MPIR) for extended FOV imaging.

Main Methods:

Employed pupil phase engineering to create a multiple-point impulse response (MPIR).
Utilized a sparse optimization algorithm to decode scrambled raw images.
Investigated the trade-off between information gathering and contrast in MPIR design.

Main Results:

Demonstrated a 4x gain in pixels over the native detection area.
Achieved extended FOV imaging performance without loss of spatial resolution.
Validated the system through simulation and experimental results.

Conclusions:

The proposed MPIR model enables extended FOV imaging by collecting information beyond sensor boundaries.
A balance between information gain and raw data contrast is crucial for high-quality reconstruction.
The system's design principles are adaptable to various imaging applications requiring extended FOV.