Firstly, I would like to express my appreciation for developing such a remarkable tool for spatial proteomics.
I am currently working with multiple sets of mIHC spatial proteomics data and have been following the SPIAT tutorial diligently. The package's functionalities for data reading, formatting, quality control, visualization, and basic analysis have been immensely beneficial. However, as I attempt to scale my analysis to a larger number of tissue scanning fields of view, I have encountered a challenge.
The predict_phenotypes() function, essential for determining marker thresholds, lacks an automated method for exporting threshold values and corresponding images for batch processing. This limitation has significantly impeded my ability to efficiently analyze a considerable number of fields of view.
I kindly request your guidance and assistance in enabling the automated export of threshold values and images generated by the predict_phenotypes() function. Thanks!
Firstly, I would like to express my appreciation for developing such a remarkable tool for spatial proteomics. I am currently working with multiple sets of mIHC spatial proteomics data and have been following the SPIAT tutorial diligently. The package's functionalities for data reading, formatting, quality control, visualization, and basic analysis have been immensely beneficial. However, as I attempt to scale my analysis to a larger number of tissue scanning fields of view, I have encountered a challenge. The predict_phenotypes() function, essential for determining marker thresholds, lacks an automated method for exporting threshold values and corresponding images for batch processing. This limitation has significantly impeded my ability to efficiently analyze a considerable number of fields of view. I kindly request your guidance and assistance in enabling the automated export of threshold values and images generated by the predict_phenotypes() function. Thanks!