This is a python module that takes a photograph of a 96 well plate and assesses each well for the presence of bacterial growth (here Mycobacterial tuberculosis). Since each well contains a different concentration of a different antibiotic, the minimum inhibitory concentration, as used in clinical microbiology, can be determined.
The development of this software was funded by the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC) to aid the CRyPTIC project, but the software is agnostic to the plate design so could be easily adopted to other types or designs of 96-well (or even 384-well) plates.
AMyGDA is a python-module and requires the following python modules to be installed.
They can all be straightforwardly installed using pip, e.g.
pip install opencv-python
The download includes a simple python script that uses the module to load an image, apply two filtering steps, detect the wells and then analyse the growth. Twenty samples images are included.
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