{"title":"A perspective on computer vision in biosensing","authors":"Li Liu, Ke Du","doi":"10.1063/5.0185732","DOIUrl":null,"url":null,"abstract":"Computer vision has become a powerful tool in the field of biosensing, aiding in the development of innovative and precise systems for the analysis and interpretation of biological data. This interdisciplinary approach harnesses the capabilities of computer vision algorithms and techniques to extract valuable information from various biosensing applications, including medical diagnostics, environmental monitoring, and food health. Despite years of development, there is still significant room for improvement in this area. In this perspective, we outline how computer vision is applied to raw sensor data in biosensors and its advantages to biosensing applications. We then discuss ongoing research and developments in the field and subsequently explore the challenges and opportunities that computer vision faces in biosensor applications. We also suggest directions for future work, ultimately underscoring the significant impact of computer vision on advancing biosensing technologies and their applications.","PeriodicalId":8855,"journal":{"name":"Biomicrofluidics","volume":null,"pages":null},"PeriodicalIF":2.6000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomicrofluidics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1063/5.0185732","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Computer vision has become a powerful tool in the field of biosensing, aiding in the development of innovative and precise systems for the analysis and interpretation of biological data. This interdisciplinary approach harnesses the capabilities of computer vision algorithms and techniques to extract valuable information from various biosensing applications, including medical diagnostics, environmental monitoring, and food health. Despite years of development, there is still significant room for improvement in this area. In this perspective, we outline how computer vision is applied to raw sensor data in biosensors and its advantages to biosensing applications. We then discuss ongoing research and developments in the field and subsequently explore the challenges and opportunities that computer vision faces in biosensor applications. We also suggest directions for future work, ultimately underscoring the significant impact of computer vision on advancing biosensing technologies and their applications.
期刊介绍：
Biomicrofluidics (BMF) is an online-only journal published by AIP Publishing to rapidly disseminate research in fundamental physicochemical mechanisms associated with microfluidic and nanofluidic phenomena. BMF also publishes research in unique microfluidic and nanofluidic techniques for diagnostic, medical, biological, pharmaceutical, environmental, and chemical applications.
BMF offers quick publication, multimedia capability, and worldwide circulation among academic, national, and industrial laboratories. With a primary focus on high-quality original research articles, BMF also organizes special sections that help explain and define specific challenges unique to the interdisciplinary field of biomicrofluidics.
Microfluidic and nanofluidic actuation (electrokinetics, acoustofluidics, optofluidics, capillary)
Liquid Biopsy (microRNA profiling, circulating tumor cell isolation, exosome isolation, circulating tumor DNA quantification)
Cell sorting, manipulation, and transfection (di/electrophoresis, magnetic beads, optical traps, electroporation)
Molecular Separation and Concentration (isotachophoresis, concentration polarization, di/electrophoresis, magnetic beads, nanoparticles)
Cell culture and analysis(single cell assays, stimuli response, stem cell transfection)
Genomic and proteomic analysis (rapid gene sequencing, DNA/protein/carbohydrate arrays)
Biosensors (immuno-assay, nucleic acid fluorescent assay, colorimetric assay, enzyme amplification, plasmonic and Raman nano-reporter, molecular beacon, FRET, aptamer, nanopore, optical fibers)
Biophysical transport and characterization (DNA, single protein, ion channel and membrane dynamics, cell motility and communication mechanisms, electrophysiology, patch clamping). Etc...
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