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

You might also read

Related Articles

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

Sort by
Same author

Optimizing atrial fibrillation detection through ECG feature selection using Extra-Trees and statistical association measures.

Journal of electrocardiology·2026
Same author

Predicting substance use behaviors with machine learning using small sets of judgment and contextual variables.

Npj mental health research·2026
Same author

Automated HFrEF Diagnosis Using an Optimized TimeSformer Model in Echocardiography.

Journal of imaging informatics in medicine·2025
Same author

Comprehensive Optoelectronic Study of Copper Nitride: Dielectric Function and Bandgap Energies.

Nanomaterials (Basel, Switzerland)·2025
Same author

Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning.

IEEE access : practical innovations, open solutions·2025
Same author

ScarNet: a novel foundation model for automated myocardial scar quantification from late gadolinium-enhancement images.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance·2025

Related Experiment Video

Updated: May 12, 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

Investigating Structurally and Pigmentary Colored Featherworks via Noninvasive Methodologies.

Madeline C Meier1, Hortense de La Codre1, Maria Kokkori1,2

  • 1Northwestern University, Center for Scientific Studies in the Arts, 2145 Sheridan Rd, Evanston, Illinois 60208, United States.

ACS Omega
|May 11, 2026
PubMed
Summary

This study introduces hyperspectral imaging for analyzing kingfisher feather art, revealing complex hybrid color systems. The findings advance heritage science and biomimetic design by understanding feather color mechanisms.

More Related Videos

Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks
08:14

Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks

Published on: May 24, 2014

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats
04:55

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats

Published on: June 17, 2020

Related Experiment Videos

Last Updated: May 12, 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

Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks
08:14

Who is Who? Non-invasive Methods to Individually Sex and Mark Altricial Chicks

Published on: May 24, 2014

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats
04:55

Using a Thermal Camera to Measure Heat Loss Through Bird Feather Coats

Published on: June 17, 2020

Area of Science:

  • Heritage Science
  • Materials Science
  • Biomimetics

Background:

  • Feathers offer diverse coloring mechanisms (pigments, structural colorants, or both).
  • Featherworks, like tian-tsui, are understudied in cultural heritage.
  • Understanding feather color is crucial for material examination.

Purpose of the Study:

  • To characterize materials in tian-tsui featherworks using a multianalytical approach.
  • To analyze feathers and structural colorants using hyperspectral imaging for the first time.
  • To establish a framework for studying light-material interactions in composite objects.

Main Methods:

  • Multianalytical approach for material characterization (adhesives, gilding, bird species, pigments).
  • Hyperspectral imaging for feather and structural colorant analysis.
  • Integration of spectroscopic and imaging methodologies.

Main Results:

  • Successful material characterization of tian-tsui objects.
  • First-time analysis and characterization of feathers and structural colorants via hyperspectral imaging.
  • Demonstration of multimodal approaches for revealing hybrid color systems.

Conclusions:

  • A framework for studying light-material interactions in organic-inorganic composites was established.
  • Insights into methodologies for investigating featherworks were provided.
  • Advancements in nondestructive strategies for heritage science and biomimetic design were achieved.