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Scratch assay microscopy: A reaction–diffusion equation approach for common instruments and data
- Source :
- Mathematical Biosciences. 330:108482
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Scratch assay is an easy and widely used "in vitro" technique to study cell migration and proliferation. In this work we focus on its modelling and on the capability to distinguish between these two phenomena that the simpler and common models are not able to disentangle. We adapted a model based on reaction-diffusion equation for being used with common microscopy instruments/data and therefore taking place in the gap between simpler modelling approaches and complex ones. An optimized image analysis pipeline and numerical least-squares fit provide estimates of the scratch proliferation and diffusion coefficients l and D. This work is intended as a first of a series in which the model is tested and its robustness and reproducibility are evaluated. Test samples were NIH3T3 cells scratch assays with proliferation and migration stimulated by varying the foetal bovine serum amount in the culture medium (10%, 7.5%, 5% and 2.5%). Results demonstrate, notwithstanding an expected l-D anticorrelation, the model capability to disentangle them. The 7.5% serum treatment can be identified as the model sensitivity limit. Treat-control l and D variations showed an intra-experiment reproducibility (∼±0.05∕h and ∼±200μm2∕h respectively) consistent with single fit typical uncertainties (∼±0.02∕h and ∼±300μm2∕h respectively).
- Subjects :
- 0301 basic medicine
Statistics and Probability
Pipeline (computing)
In Vitro Techniques
Models, Biological
General Biochemistry, Genetics and Molecular Biology
Mice
03 medical and health sciences
0302 clinical medicine
Cell Movement
Robustness (computer science)
Reaction–diffusion system
Microscopy
Image Processing, Computer-Assisted
Animals
Computer Simulation
Microscopy, Phase-Contrast
Least-Squares Analysis
Diffusion (business)
Cell Proliferation
Mathematics
computer.programming_language
Reproducibility
General Immunology and Microbiology
Applied Mathematics
Mathematical Concepts
General Medicine
Culture Media
030104 developmental biology
Scratch
030220 oncology & carcinogenesis
Modeling and Simulation
NIH 3T3 Cells
Sensitivity limit
General Agricultural and Biological Sciences
Biological system
computer
Subjects
Details
- ISSN :
- 00255564
- Volume :
- 330
- Database :
- OpenAIRE
- Journal :
- Mathematical Biosciences
- Accession number :
- edsair.doi.dedup.....548885861fc9b680f5d2c7e81e768856