Auto-QC works with nearly all types of signals (csv files) and images
Flag unwanted cell types
Remove out-focus images
Detect bad signal recordings
Filter low activity
Create a training dataset. Gather examples for valid and invalid signals or images
Upload your training data to Auto-QC to create a model for classifying valid versus invalid.
Download your model and use it to sort your data for new experiments.