Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.2K
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...
12.2K
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

1.1K
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Robust [Formula: see text]-mapping in composites via joint beam-hardening and detector-response correction.

Scientific reports·2026
Same author

Machine Learning-Assisted Nanopore for Enhanced Fingerprinting Analysis of Functional Glycans.

Analytical chemistry·2026
Same author

TRABD2A promotes osteogenic differentiation of human periodontal ligament stem cells by modulating TNF-α and IL-1β.

Organogenesis·2026
Same author

A Blood-Derived Double-Network Hydrogel with Robust Wet Adhesion for Keratinized Mucosa Regeneration via Neutrophil Phenotype Reprogramming and Mechanophysical Niche Modulation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Physical exercise therapy as an anti-aging strategy for osteosarcopenia: a narrative review.

Frontiers in aging·2026
Same author

Cargo-Adaptor Cooperation Programs Retromer Coat Architecture.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Jan 13, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

13.9K

HCNet: Multi-Exposure High-Dynamic-Range Reconstruction Network for Coded Aperture Snapshot Spectral Imaging.

Hang Shi1,2, Jingxia Chen1, Yahui Li2

  • 1School of Electronics Information and Artificial Intelligence, Shaanxi University of Science and Technology, Xi'an 710021, China.

Sensors (Basel, Switzerland)
|January 10, 2026
PubMed
Summary

This study introduces a multi-exposure fusion method to enhance Coded Aperture Snapshot Spectral Imaging (CASSI) reconstruction quality. The new approach overcomes dynamic range limitations, improving hyperspectral image fidelity in challenging high-dynamic-range scenes.

Keywords:
compressed measurement reconstructionhigh dynamic rangemulti-exposure fusionsnapshot compressive spectral imaging

More Related Videos

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

662
High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.4K

Related Experiment Videos

Last Updated: Jan 13, 2026

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material
11:57

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

13.9K
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

662
High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip
14:09

High-Throughput Total Internal Reflection Fluorescence and Direct Stochastic Optical Reconstruction Microscopy Using a Photonic Chip

Published on: November 16, 2019

7.4K

Area of Science:

  • Optical Engineering
  • Image Processing
  • Spectroscopy

Background:

  • Coded Aperture Snapshot Spectral Imaging (CASSI) is a rapid hyperspectral imaging technique.
  • Existing CASSI systems face limitations due to finite dynamic range in compressed measurements, degrading reconstruction quality.
  • Hardware constraints and data acquisition modes contribute to these dynamic range issues.

Purpose of the Study:

  • To develop a high-quality hyperspectral reconstruction method addressing the dynamic range limitations of CASSI.
  • To improve the fidelity of hyperspectral data reconstruction in both spatial and spectral dimensions.
  • To enhance CASSI's measurement capability in high-dynamic-range (HDR) scenarios.

Main Methods:

  • A multi-exposure data acquisition strategy capturing low-, medium-, and high-exposure low-dynamic-range (LDR) measurements.
  • Design of a multi-exposure fusion-based high-dynamic-range (HDR) CASSI measurement reconstruction network (HCNet).
  • HCNet utilizes a multiscale feature fusion architecture with local-global convolutional joint attention and residual enhancement for fusing multi-exposure information.

Main Results:

  • The proposed method significantly improves hyperspectral image reconstruction quality compared to single-exposure strategies.
  • HCNet demonstrates high robustness against multi-exposure interval jitters and shot noise in practical CASSI systems.
  • Reconstruction shows enhanced contrast in both bright and dark details and higher spectral correlation, especially in HDR scenes.

Conclusions:

  • The multi-exposure fusion approach effectively reconstructs physically consistent HDR CASSI measurements.
  • The developed HCNet is well-suited for CASSI systems, enabling high-fidelity hyperspectral data reconstruction.
  • This method validates enhanced CASSI reconstruction and effective measurement capability in HDR scenarios.