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bioRxiv · 10.1101/548412

Work Flows for Cellular Epidemiology, From Conception to Translation

Abstract

The authors have withdrawn their manuscript after issues with the cell viability validation (Fig. 8) were found. In the interest of furthering science and ensuring that clinical decisions are based on best practices and evidence, the issue is described in more detail in the peer-reviewed, published paper: https://www.frontiersin.org/articles/10.3389/fphys.2021.647603/full Knothe Tate ML, Srikantha A, Wojek C, Zeidler D (2021) Connectomics of Bone to Brain-- Probing Physical Renderings of Cellular Experience, Frontiers in Physiology 12: 1018, doi: 10.3389/fphys.2021.647603 As noted in that published work: "Osteocyte coordinates can be extracted from the YOLO classified image set, enabling high throughput analyses of massive datasets, which in the future could include other cellular inhabitants of tissues including blood cells, immune cells, chondrocytes, etc. While the method shows great promise for automated detection of cells, the greatest limitation of the method is the definition of appropriate and unbiased classifiers. The definition of osteocytes as pyknotic and viable based on the number of cell processes was shown to be flawed in a parallel study testing the assumption using biochemical based viability measures (Anastopolous and Knothe Tate, 2021)." Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

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BibTeXRIS

Nathanson, A. D., Ngo, L., Garbowski, T., Srikantha, A., Wojek, C., Zeidler, D., Knothe Tate, M.. 2019-02-13. Work Flows for Cellular Epidemiology, From Conception to Translation. https://doi.org/10.1101/548412

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