Matching and comparing objects in a serial cytometer
Nikita Podobedov, Matthew DiSalvo, Jason A. Hsu, Paul N. Patrone, Gregory A. Cooksey
Flow cytometers are indispensable for clinical studies, yet are hindered by inherent uncertainties. We have developed an optofluidic device capable of multiple measurements along a microfluidic channel, whereby many of the uncertainty components can be systematically evaluated and tuned. This study addresses the challenge associated with identifying and tracking the order of objects throughout their time of transit. An algorithm was developed in MATLAB to characterize objects as they travel. We discuss methods of testing the efficacy of this algorithm, and other mathematical tools that will allow us to gain more information compared to what a conventional cytometer can provide.
24th International Conference on Miniaturized Systems for Chemistry and Life Sciences