TNTdetect.AI: A Deep Learning Model for Automated Detection and Counting of Tunneling Nanotubes in Microscopy Images
Background: Tunneling nanotubes (TNTs) are cellular structures connecting cell membranes and mediating intercellular communication. TNTs are manually identified and counted by a trained investigator; however, this process is time-intensive. We therefore sought to develop an automated approach for qu...
Main Authors: | , , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-10-01
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Series: | Cancers |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-6694/14/19/4958 |