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Related Experiment Video

Updated: Jan 28, 2026

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum

Dissection, MicroCT Scanning and Morphometric Analyses of the Baculum

Published on: March 19, 2017

Geometric morphometrics in the cloud.

Sebastien Dujardin¹, Jean-Pierre Dujardin¹

¹IRD, UMR INTERTRYP IRD, CIRAD, University of Montpellier, F-34398 Montpellier, France.

Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases

|February 23, 2019

Summary

XYOM (XY Online Morphometrics) offers a web-based geometric morphometric approach for analyzing organismal form. This platform-independent software requires no installation, providing secure cloud storage and easy data access for enhanced morphometric analysis.

Keywords:

Geometric morphometrics Online software

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Area of Science:

Evolutionary Biology
Morphometrics
Bioinformatics

Background:

Geometric morphometrics (GM) traditionally requires specialized software installation and configuration.
Client-side software can present barriers to accessibility and ease of use for researchers.

Purpose of the Study:

To introduce XYOM (XY Online Morphometrics) as a novel, web-based platform for geometric morphometric analyses.
To provide an accessible, user-friendly alternative to traditional client-side morphometric software.

Main Methods:

XYOM utilizes a standard web interface for online 2D image digitization, including landmarks, semilandmarks, and contours.
The platform supports corresponding statistical analyses within a secure cloud storage environment.
It is designed for platform independence and automatic updates.

Main Results:

XYOM eliminates the need for software download, installation, and configuration.
It offers secure, 24/7 cloud storage with anytime access from any device.
The web-based nature facilitates a faster and easier learning process for users.

Conclusions:

XYOM enhances accessibility and efficiency in geometric morphometric studies.
The platform supports the identification and characterization of organismal forms through advanced GM techniques.
It represents a significant advancement in making sophisticated morphometric analyses more widely available.