Multi-parametric cell profiling with a CMOS quad-modality cellular interfacing array for label-free fully automated drug screening
| Autor: | Taiyun Chi, Moez Karim Aziz, Jong Seok Park, Adam Wang, Sensen Li, Hua Wang, Sandra I. Grijalva, Michael N. Sayegh, Hee Cheol Cho |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Drug Computer science media_common.quotation_subject Cell Drug Evaluation Preclinical Biomedical Engineering Bioengineering 02 engineering and technology Biochemistry Article Automation 03 medical and health sciences 0202 electrical engineering electronic engineering information engineering medicine Electrical impedance media_common Profiling (computer programming) Modality (human–computer interaction) business.industry 020208 electrical & electronic engineering Oxides General Chemistry Fibroblasts 030104 developmental biology medicine.anatomical_structure Semiconductors Drug development CMOS Metals Tissue Array Analysis Interfacing business Computer hardware |
| Zdroj: | Lab on a Chip, 18 (19) Lab on a chip |
| ISSN: | 1473-0189 1473-0197 |
| DOI: | 10.1039/c8lc00156a |
| Popis: | Cells are complex systems with concurrent multi-physical responses, and cell physiological signals are often encoded with spatiotemporal dynamics and further coupled with multiple cellular activities. However, most existing electronic sensors are only single-modality and cannot capture multi-parametric cellular responses. In this paper, a 1024-pixel CMOS quad-modality cellular interfacing array that enables multi-parametric cell profiling for drug development is presented. The quad-modality CMOS array features cellular impedance characterization, optical detection, extracellular potential recording, and biphasic current stimulation. The fibroblast transparency and surface adhesion are jointly monitored by cellular impedance and optical sensing modalities for comprehensive cell growth evaluation. Simultaneous current stimulation and opto-mechanical monitoring based on cardiomyocytes are demonstrated without any stimulation/sensing dead-zone. Furthermore, drug dose-dependent multi-parametric feature extractions in cardiomyocytes from their extracellular potentials and opto-mechanical signals are presented. The CMOS array demonstrates great potential for fully automated drug screening and drug safety assessments, which may substantially reduce the drug screening time and cost in future new drug development. Lab on a Chip, 18 (19) ISSN:1473-0197 ISSN:1473-0189 |
| Databáze: | OpenAIRE |
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