دورية أكاديمية
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Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning.

التفاصيل البيبلوغرافية
العنوان: Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning.
المؤلفون: Liu T; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Bioengineering Department, University of California, Los Angeles, USA.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA., Li Y; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Bioengineering Department, University of California, Los Angeles, USA.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA., Koydemir HC; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Department of Biomedical Engineering, Texas A&M University, College Station, TX, USA.; Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX, USA., Zhang Y; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Bioengineering Department, University of California, Los Angeles, USA.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA., Yang E; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Department of Mathematics, University of California, Los Angeles, CA, USA., Eryilmaz M; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Bioengineering Department, University of California, Los Angeles, USA., Wang H; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Bioengineering Department, University of California, Los Angeles, USA.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA., Li J; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Bioengineering Department, University of California, Los Angeles, USA.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA., Bai B; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; Bioengineering Department, University of California, Los Angeles, USA.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA., Ma G; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA.; School of Physics, Xi'an Jiaotong University, Xi'an, China., Ozcan A; Electrical and Computer Engineering Department, University of California, Los Angeles, CA, USA. ozcan@ucla.edu.; Bioengineering Department, University of California, Los Angeles, USA. ozcan@ucla.edu.; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA, USA. ozcan@ucla.edu.; Department of Surgery, University of California, Los Angeles, CA, USA. ozcan@ucla.edu.
المصدر: Nature biomedical engineering [Nat Biomed Eng] 2023 Aug; Vol. 7 (8), pp. 1040-1052. Date of Electronic Publication: 2023 Jun 22.
نوع المنشور: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
اللغة: English
بيانات الدورية: Publisher: Springer Nature Country of Publication: England NLM ID: 101696896 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2157-846X (Electronic) Linking ISSN: 2157846X NLM ISO Abbreviation: Nat Biomed Eng Subsets: MEDLINE
أسماء مطبوعة: Publication: London : Springer Nature
Original Publication: [London] : Macmillan Publishers Limited, [2016]-
مواضيع طبية MeSH: Deep Learning* , Holography*, Viral Plaque Assay ; Coloring Agents ; Virus Replication
مستخلص: A plaque assay-the gold-standard method for measuring the concentration of replication-competent lytic virions-requires staining and usually more than 48 h of runtime. Here we show that lens-free holographic imaging and deep learning can be combined to expedite and automate the assay. The compact imaging device captures phase information label-free at a rate of approximately 0.32 gigapixels per hour per well, covers an area of about 30 × 30 mm 2 and a 10-fold larger dynamic range of virus concentration than standard assays, and quantifies the infected area and the number of plaque-forming units. For the vesicular stomatitis virus, the automated plaque assay detected the first cell-lysing events caused by viral replication as early as 5 h after incubation, and in less than 20 h it detected plaque-forming units at rates higher than 90% at 100% specificity. Furthermore, it reduced the incubation time of the herpes simplex virus type 1 by about 48 h and that of the encephalomyocarditis virus by about 20 h. The stain-free assay should be amenable for use in virology research, vaccine development and clinical diagnosis.
(© 2023. The Author(s).)
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المشرفين على المادة: 0 (Coloring Agents)
تواريخ الأحداث: Date Created: 20230622 Date Completed: 20230817 Latest Revision: 20230820
رمز التحديث: 20230821
مُعرف محوري في PubMed: PMC10427422
DOI: 10.1038/s41551-023-01057-7
PMID: 37349390
قاعدة البيانات: MEDLINE
الوصف
تدمد:2157-846X
DOI:10.1038/s41551-023-01057-7