دورية أكاديمية
Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning.
العنوان: | Rapid and stain-free quantification of viral plaque via lens-free holography and deep learning. |
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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 |
تدمد: | 2157-846X |
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DOI: | 10.1038/s41551-023-01057-7 |