Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

ZFTool: A Software for Automatic Quantification of Cancer Cell Mass Evolution in Zebrafish

Version 1 : Received: 29 July 2021 / Approved: 30 July 2021 / Online: 30 July 2021 (10:39:17 CEST)

A peer-reviewed article of this Preprint also exists.

Carreira, M.J.; Vila-Blanco, N.; Cabezas-Sainz, P.; Sánchez, L. ZFTool: A Software for Automatic Quantification of Cancer Cell Mass Evolution in Zebrafish. Appl. Sci. 2021, 11, 7721. Carreira, M.J.; Vila-Blanco, N.; Cabezas-Sainz, P.; Sánchez, L. ZFTool: A Software for Automatic Quantification of Cancer Cell Mass Evolution in Zebrafish. Appl. Sci. 2021, 11, 7721.

Journal reference: Appl. Sci. 2021, 11, 7721
DOI: 10.3390/app11167721

Abstract

Background: Zebrafish (Danio rerio) is a model organism emerged for the study of human cancer. Compared with the murine model, the zebrafish model has several properties ideal for personalized therapies. The transparency of the zebrafish embryos and the development of the pigment-deficient “casper” zebrafish line give the capacity to directly observe cancer formation and progression in the living animal. Automatic quantification of cellular proliferation in vivo is critical to the development of personalized medicine. Methods: A new methodology was defined to automatically quantify the cancer cellular evolution. ZFTool was developed to establish a base threshold that eliminates the embryo auto-fluorescence and automatically measures the area and intensity of GFP (green-fluorescent protein) marked cells and define a proliferation index. Results: Proliferation index automatically computed on different targets demonstrates the efficiency of ZFTool to provide a good automatic quantification of cancer cell evolution and dissemination. Conclusion: Our results demonstrate that ZFTool is a reliable tool for the automatic quantification of the proliferation index, being a measure of cancer mass evolution in zebrafish eliminating the influence of its autofluorescence.

Keywords

xenotransplant; cancer cells; zebrafish image analysis; in vivo assay

Subject

MATHEMATICS & COMPUTER SCIENCE, Algebra & Number Theory

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.