A Contact-Imaging Based Microfluidic Cytometer with Machine-Learning for Single-Frame Super-Resolution Processing
Figure 5
Comparison of counting results of different microbead concentration solutions between the developed microfluidic cytometer and the commercial flow cytometer.
(A) Measurement results correlate well between the developed system and the commercial one (y = 0.97x-8, correlation coefficient = 0.996). (B) The Bland-Altman analysis of the measurement results between the developed one and the commercial one show a mean bias of −13.6 uL−1, the lower 95% limit of agreement by −61.0 uL−1, and the upper 95% limit of agreement by 33.8 uL−1.