Literature DB >> 31479988

CMOS based whole cell impedance sensing: Challenges and future outlook.

Ava Hedayatipour1, Shaghayegh Aslanzadeh2, Nicole McFarlane2.   

Abstract

With the increasing need for multi-analyte point-of-care diagnosis devices, cell impedance measurement is a promising technique for integration with other sensing modalities. In this comprehensive review, the theory underlying cell impedance sensing, including the history, complementary metal-oxide-semiconductor (CMOS) based implementations, and applications are critically assessed. Whole cell impedance sensing, also known as electric cell-substrate impedance sensing (ECIS) or electrical impedance spectroscopy (EIS), is an approach for studying and diagnosing living cells in in-vitro and in-vivo environments. The technique is popular since it is label-free, non-invasive, and low cost when compared to standard biochemical assays. CMOS cell impedance measurement systems have been focused on expanding their applications to numerous aspects of biological, environmental, and food safety applications. This paper presents and evaluates circuit topologies for whole cell impedance measurement. The presented review compares several existing CMOS designs, including the classification, measurement speed, and sensitivity of varying topologies.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biological cells; CMOS sensor; Cell based sensing; Electrical cell-substrate impedance sensing; Electrical impedance spectroscopy; Impedance sensing

Mesh:

Substances:

Year:  2019        PMID: 31479988     DOI: 10.1016/j.bios.2019.111600

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  4 in total

1.  Impedance Imaging of Cells and Tissues: Design and Applications.

Authors:  Raziyeh Bounik; Fernando Cardes; Hasan Ulusan; Mario M Modena; Andreas Hierlemann
Journal:  BME Front       Date:  2022-06-09

2.  Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics.

Authors:  Carlos Honrado; Paolo Bisegna; Nathan S Swami; Federica Caselli
Journal:  Lab Chip       Date:  2021-01-05       Impact factor: 6.799

3.  Polysaccharide Multilayer Films in Sensors for Detecting Prostate Tumor Cells Based on Hyaluronan-CD44 Interactions.

Authors:  João Batista Maia Rocha Neto; Andrey Coatrini Soares; Rogério Aparecido Bataglioli; Olívia Carr; Carlos Alberto Rodrigues Costa; Osvaldo N Oliveira; Marisa Masumi Beppu; Hernandes F Carvalho
Journal:  Cells       Date:  2020-06-26       Impact factor: 6.600

Review 4.  In Vitro Methods for Measuring the Permeability of Cell Monolayers.

Authors:  Radoslaw Bednarek
Journal:  Methods Protoc       Date:  2022-02-09
  4 in total

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