Training to Improve Precision and Accuracy in the Measurement of Fiber Morphology.
An estimated $7.1 billion dollars a year is spent due to irreproducibility in pre-clinical data from errors in data analysis and reporting. Therefore, developing tools to improve measurement comparability is paramount. Recently, an open source tool, DiameterJ, has been deployed for the automated ana...
Main Authors: | Nathan A Hotaling, Jun Jeon, Mary Beth Wade, Derek Luong, Xavier-Lewis Palmer, Kapil Bharti, Carl G Simon |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2016-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC5132175?pdf=render |
Similar Items
-
Dataset for the validation and use of DiameterJ an open source nanofiber diameter measurement tool
by: Nathan A. Hotaling, et al.
Published: (2015-12-01) -
Comparison of Artificial Intelligence based approaches to cell function prediction
by: Sarala Padi, et al.
Published: (2020-01-01) -
Training-induced dynamics of accuracy and precision in human motor control
by: Abhishek Kumar, et al.
Published: (2017-07-01) -
Effects of Motor Training on Accuracy and Precision of Jaw and Finger Movements
by: Yinan Chen, et al.
Published: (2019-01-01) -
Corrigendum to “Effects of Motor Training on Accuracy and Precision of Jaw and Finger Movements”
by: Yinan Chen, et al.
Published: (2021-01-01)