An unsupervised machine learning approach for anomaly detection, implemented as both a user-defined feature matrix and a self-supervised deep neural network, improves the mass sensitivity of iSCAT by a factor of 4 to below 10 kDa.
- Mahyar Dahmardeh
- Houman Mirzaalian Dastjerdi
- Vahid Sandoghdar
