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

Paradigm Shift of Microbiota-gut-brain Axis During Aging: Potential Role of Probiotics to Improve Cognitive Decline.

Probiotics and antimicrobial proteins·2026
Same author

A probabilistic approach to the analysis of elastic light scatter profiles for identification of culturable bacteria.

Systematic and applied microbiology·2026
Same author

CARGO: A Cytometry Analysis framework via Regularized Graph Optimal-transport.

PLoS computational biology·2026
Same author

Profiling the CFTR Variant Selectivity and Off-Target Interactions of VX-121.

bioRxiv : the preprint server for biology·2026
Same author

Genomic diversity, antibiotic resistance, and maturation‑dependent adhesion of F18 enterotoxigenic Escherichia coli strains in porcine intestinal cells.

Gut pathogens·2026
Same author

The impact of high fat diet on global protein abundance and fractional synthetic rate in liver and mammary gland of peak lactation ICR mice.

PloS one·2026

Related Experiment Video

Updated: Mar 17, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

11.7K

Development of a multispectral light-scatter sensor for bacterial colonies.

Huisung Kim1, Bartek Rajwa2,3, Arun K Bhunia4

  • 1Applied Optics Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, IN 47907, USA.

Journal of Biophotonics
|July 15, 2016
PubMed
Summary

This study introduces a multispectral elastic-light-scatter instrument for bacterial colony analysis. Combining three-wavelength scatter patterns significantly improves classification accuracy compared to single-wavelength methods.

Keywords:
bacteria identificationdiffractionlight scatteringmulti wavelengthspectral measurement

More Related Videos

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

14.0K
Optical Detection of E. coli Bacteria by Mesoporous Silicon Biosensors
07:22

Optical Detection of E. coli Bacteria by Mesoporous Silicon Biosensors

Published on: November 20, 2013

17.7K

Related Experiment Videos

Last Updated: Mar 17, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

11.7K
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

14.0K
Optical Detection of E. coli Bacteria by Mesoporous Silicon Biosensors
07:22

Optical Detection of E. coli Bacteria by Mesoporous Silicon Biosensors

Published on: November 20, 2013

17.7K

Area of Science:

  • Microbiology
  • Optical Physics
  • Biophotonics

Background:

  • Traditional bacterial identification methods can be time-consuming and lack detailed phenotypic information.
  • Single-wavelength light scatter analysis has limitations in differentiating complex microbial samples.

Purpose of the Study:

  • To develop and validate a multispectral elastic-light-scatter instrument for enhanced bacterial colony analysis.
  • To assess the utility of combining multi-wavelength scatter patterns and optical densities for microbial differentiation.

Main Methods:

  • Utilized a novel multispectral elastic-light-scatter instrument with a pellicle beam splitter and optical cage system.
  • Acquired three-wavelength scatter patterns and optical densities from bacterial colonies and liquid samples.
  • Developed an optical model based on diffraction theory to predict scatter patterns.
  • Applied pseudo-Zernike moments and random forest methods for scatter-pattern classification.

Main Results:

  • The instrument successfully differentiated between four bacterial genera and seven Shiga toxin-producing E. coli serovars based on scattering characteristics.
  • Spectroscopic information from absorption measurements enhanced sample differentiability.
  • The optical model accurately predicted wavelength-dependent scatter patterns, aligning with experimental data.
  • Multi-wavelength feature combination yielded superior classification rates compared to single-wavelength features.

Conclusions:

  • Multispectral elastic-light scattering provides a powerful, non-invasive method for bacterial identification and characterization.
  • Combining spectral and scatter pattern data significantly enhances classification accuracy for microbial analysis.
  • This technology offers a promising advancement for rapid and precise bacterial diagnostics.