What is it about?
Scientists have collected and digitized a large amount of information about different species of animals and plants, but it can be challenging to use this information for research. In this study, we tested a computer program that can accurately label and locate important points on images of animal specimens, such as bird feathers or shell shapes. We used this program to identify specific colors on bird feathers and to measure the shapes of snail shells. The program was highly accurate and allowed the researchers to quickly analyze large amounts of data.
Featured Image
Photo by Vincent van Zalinge on Unsplash
Why is it important?
Our findings have the potential to help scientists better understand the evolution of different species.
Perspectives
Writing this article has been a great pleasure for me. I had the opportunity to collaborate with co-authors whom I have been working with for a long time. This article is also a part of my PhD thesis, and I am delighted to see it has been published. I hope that our computational methods and model can be utilized to measure many natural history specimens, advancing research in this field.
Yichen He
University of Sheffield
Read the Original
This page is a summary of: Using pose estimation to identify regions and points on natural history specimens, PLoS Computational Biology, February 2023, PLOS,
DOI: 10.1371/journal.pcbi.1010933.
You can read the full text:
Contributors
The following have contributed to this page
