Automated collection of single species of microfossils using a deep learning–micromanipulator system

Automated collection of single species of microfossils using a deep learning–micromanipulator system

Abstract For geochemical analysis such as stable isotope ratio, radiocarbon dating and minor element analysis for a single species of microfossils, a large number of specimens, is required. Collecting specimens one by one under a microscope requires enormous time and effort. In this study, we develo...

Full description

Bibliographic Details
Main Authors: Takuya Itaki, Yosuke Taira, Naoki Kuwamori, Toshinori Maebayashi, Satoshi Takeshima, Kenji Toya
Format: Article
Language:English
Published: SpringerOpen 2020-05-01
Series:Progress in Earth and Planetary Science
Subjects:
Micropaleontology
Radiolarians
AI
Classification
Manipulation
Online Access:http://link.springer.com/article/10.1186/s40645-020-00332-4

Internet

http://link.springer.com/article/10.1186/s40645-020-00332-4

Similar Items