Time-domain signal averaging to improve microparticles detection and enumeration accuracy in a microfluidic impedance cytometer.

ABSTRACT: Microfluidic impedance cytometry is a powerful system to measure micro and nano-sized particles and is routinely used in point-of-care disease diagnostics and other biomedical applications. However, small objects near a sensor's detection limit are plagued with relatively significant background noise and are difficult to identify for every case. While many data processing techniques can be utilized to reduce noise and improve signal quality, frequently they are still inadequate to push sensor detection limits. Here, we report the first demonstration of a novel signal averaging algorithm effective in noise reduction of microfluidic impedance cytometry data, improving enumeration accuracy, and reducing detection limits. Our device uses a 22 µm tall × 100 µm wide (with 30 µm wide focused aper

SUBMITTER: Ashley BK 

PROVIDER: S-EPMC8589102 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature