CYCASP is a methodology for investigating and understanding (C)olon(Y) growth and (C)ell (A)ttributes at the population level. It couples (SP)atiotemporal changes by relying on two novel data abstractions and a modular algorithm.
Home Page: https://doi.org/10.3389/fbioe.2018.00017
License: MIT License
Hi,
Is there any comprehensive tutorial regarding this package? I recently learned trackpy and am learning bits of custom feature detection and image analysis. This package seems a good (non-machine learning) approach for single-cell bacterial detection. I have datasets that look like
initial:
final:
The problem is isolating single features at a later stage and tracking.
Thank you in advance
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