Digital filtering dissemination for optimizing impedance cytometry signal quality and counting accuracy.

ABSTRACT: Improving biosensor performance which utilize impedance cytometry is a highly interested research topic for many clinical and diagnostic settings. During development, a sensor's design and external factors are rigorously optimized, but improvements in signal quality and interpretation are usually still necessary to produce a sensitive and accurate product. A common solution involves digital signal processing after sample analysis, but these methods frequently fall short in providing meaningful signal outcome changes. This shortcoming may arise from a lack of investigative research into selecting and using signal processing functions, as many choices in current sensors are based on either theoretical results or estimated hypotheses. While a ubiquitous condition set is improbable across dive

SUBMITTER: Ashley BK 

PROVIDER: S-EPMC9635870 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature