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Scalable pseudo‐exhaustive methodology for testing and diagnosis in flow‐based microfluidic biochips
Author(s) -
Vadakkeveedu Gokulkrishnan,
Veezhinathan Kamakoti,
Chandrachoodan Nitin,
Potluri Seetal
Publication year - 2020
Publication title -
iet computers and digital techniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.219
H-Index - 46
eISSN - 1751-861X
pISSN - 1751-8601
DOI - 10.1049/iet-cdt.2018.5029
Subject(s) - biochip , scalability , microfluidics , computer science , lab on a chip , embedded system , parallel computing , computer architecture , reliability engineering , engineering , nanotechnology , materials science , operating system
Microfluidics is an upcoming field of science that is going to be used widely in many safety‐critical applications including healthcare, medical research and defence. Hence, technologies for fault testing and fault diagnosis of these chips are of extreme importance. In this study, the authors propose a scalable pseudo‐exhaustive testing and diagnosis methodology for flow‐based microfluidic biochips. The proposed approach employs a divide‐and‐conquer based technique wherein, large architectures are split into smaller sub‐architectures and each of these are tested and diagnosed independently.

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