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

Computational Modeling of Microtubule Dynamic Instability: From Molecular Mechanisms to Emergent Behavior.

Biophysical journal·2026
Same author

Variants in ZZS Complex-Associated Genes TEX11 and M1AP Are Responsible for Male Infertility and Nonobstructive Azoospermia.

Andrology·2026
Same author

Bioactive components of Mongolian medicinal Gentiana dahurica Fisch. flowers inhibit the NF-κB signaling pathway and ameliorate chronic obstructive pulmonary disease.

Journal of ethnopharmacology·2026
Same author

Intelligent logic-gate-integrated capillary fluorescence imprinted microarray sensor for rapid simultaneous detection of multiple endocrine disrupting compounds.

Talanta·2026
Same author

Disentangling polymer confinement from specific-folding interactions reveals the drivers of <i>E. coli</i> chromosome organization.

bioRxiv : the preprint server for biology·2026
Same author

Effects of chromatin-lamina attachment on extra-long-range chromatin interactions.

Biophysical journal·2026

Related Experiment Video

Updated: Sep 19, 2025

Author Spotlight: Diatom Testing for Forensic Drowning Examination
04:20

Author Spotlight: Diatom Testing for Forensic Drowning Examination

Published on: November 10, 2023

2.3K

A simple optical microscopy-based diatom classification approach for forensic drowning site inference: a pilot study.

Ao Ma1, Min Chen2, Qihan Yu3

  • 1Department of Forensic Medicine, Inner Mongolia Medical University, Huhhot, Inner Mongolia, P.R. China.

International Journal of Legal Medicine
|June 5, 2025
PubMed
Summary

This study introduces a simplified diatom classification method for drowning site inference, using basic microscopy. The new approach achieves over 90% accuracy, making forensic analysis more accessible.

More Related Videos

Characterization of Calcification Events Using Live Optical and Electron Microscopy Techniques in a Marine Tubeworm
15:39

Characterization of Calcification Events Using Live Optical and Electron Microscopy Techniques in a Marine Tubeworm

Published on: February 28, 2017

8.3K
Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.3K

Related Experiment Videos

Last Updated: Sep 19, 2025

Author Spotlight: Diatom Testing for Forensic Drowning Examination
04:20

Author Spotlight: Diatom Testing for Forensic Drowning Examination

Published on: November 10, 2023

2.3K
Characterization of Calcification Events Using Live Optical and Electron Microscopy Techniques in a Marine Tubeworm
15:39

Characterization of Calcification Events Using Live Optical and Electron Microscopy Techniques in a Marine Tubeworm

Published on: February 28, 2017

8.3K
Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates
08:56

Automatic Image Processing to Determine the Community Size Structure of Riverine Macroinvertebrates

Published on: January 13, 2023

2.3K

Area of Science:

  • Forensic Science
  • Diatom Taxonomy
  • Environmental Forensics

Background:

  • Diatom taxonomy is crucial for drowning site inference and differentiating drowning types.
  • Traditional methods are labor-intensive, require expertise, and rely on expensive Scanning Electron Microscopy (SEM).

Purpose of the Study:

  • To introduce a simplified diatom classification method for drowning site inference.
  • To enable accurate analysis using routine optical microscopy and reduce reliance on SEM.

Main Methods:

  • Developed a simplified diatom classification based on symmetry, outline, and pattern.
  • Analyzed diatom assemblages from four distinct locations to create a regional database.
  • Employed Mahalanobis distances and Principal Component Analysis (PCA) for site inference.

Main Results:

  • Achieved over 90% accuracy in drowning site inference using the simplified method.
  • Demonstrated the effectiveness of routine optical microscopy (below 400× magnification).
  • Established a regional database for drowning site inference.

Conclusions:

  • The simplified diatom classification method offers accurate drowning site inference with accessible tools.
  • This approach requires minimal taxonomic expertise, enhancing forensic capabilities.
  • Further validation is needed in diverse environments to ensure generalizability.