Appendix

Summary of the PiSCAT pipeline for efficient nanoparticle detection

The implementation flowchart for detecting single unlabeled proteins from iSCAT videos is shown in the following Fig [1].

Structure of the PiSCAT

The PiSCAT structure is depicted in the following diagram. [2].

PiSCAT UAI plugin

The implementation analysis pipeline, including the final results for self-supervised machine learning to push the sensitivity limit in label-free detection of single proteins below 10 kDa, is shown in the following Fig [3].

PiSCAT publications

[1] Dastjerdi, Houman Mirzaalian, et al. “Optimized analysis for sensitive detection and analysis of single proteins via interferometric scattering microscopy.” Journal of Physics D: Applied Physics 55.5 (2021): 054002. (Journal)

[2] Mirzaalian Dastjerdi, Houman, et al. “PiSCAT: A Python Package for Interferometric Scattering Microscopy.” The Journal of Open Source Software 7.71 (2022). (Journal)

[3] Dahmardeh, M., Mirzaalian Dastjerdi, H., Mazal, H. et al. Self-supervised machine learning pushes the sensitivity limit in label-free detection of single proteins below 10kDa. Nat Methods (2023).(Journal)