Validation and tuning of in situ transcriptomics image processing workflows with crowdsourced annotations.
Recent advancements in in situ methods, such as multiplexed in situ RNA hybridization and in situ RNA sequencing, have deepened our understanding of the way biological processes are spatially organized in tissues. Automated image processing and spot-calling algorithms for analyzing in situ transcrip...
Main Authors: | Jenny M Vo-Phamhi, Kevin A Yamauchi, Rafael Gómez-Sjöberg |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2021-08-01
|
Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1009274 |
Similar Items
-
Crowdsourcing airway annotations in chest computed tomography images.
by: Veronika Cheplygina, et al.
Published: (2021-01-01) -
Task design for crowdsourced glioma cell annotation in microscopy images
by: Svea Schwarze, et al.
Published: (2024-01-01) -
A Crowdsourcing Recommendation Model for Image Annotations in Cultural Heritage Platforms
by: Menna Maged Kamel, et al.
Published: (2023-09-01) -
Generating annotations for how-to videos using crowdsourcing
by: Nguyen, Phu
Published: (2019) -
A Perspective on Crowdsourcing and Human-in-the-Loop Workflows in Precision Health
by: Peter Washington
Published: (2024-04-01)