A State-of-the-Art Digital PCR Platform.

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Title: A State-of-the-Art Digital PCR Platform.
Authors: Lebedeva, Yu. L.1 (AUTHOR) j_kuzmina@pcr.ms, Cherkashin, E. A.1 (AUTHOR), Akimkin, V. G.1 (AUTHOR)
Source: Applied Biochemistry & Microbiology. Dec2025, Vol. 61 Issue 7, p1423-1442. 20p.
Subjects: Polymerase chain reaction, Sensitivity & specificity (Statistics), Identification of pathogenic microorganisms, Diagnostic use of polymerase chain reaction, Molecular diagnosis, Statistical accuracy
Abstract: The traditional quantitative real-time polymerase chain reaction is the gold standard among molecular diagnostic methods and is used both for the identification of pathogens of various diseases, and for genotyping and standardization of the NGS library. The digital polymerase chain reaction technology is an upgraded version of the polymerase chain reaction, and over the past five years has proven to be more sensitive, specific, and accurate. This article provides an overview of the modern digital polymerase chain reaction platform and their comparative analysis. Special features, uses, and possible applications are selected. [ABSTRACT FROM AUTHOR]
Copyright of Applied Biochemistry & Microbiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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DbLabel: Engineering Source
An: 189911669
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  Data: A State-of-the-Art Digital PCR Platform.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Biochemistry+%26+Microbiology%22">Applied Biochemistry & Microbiology</searchLink>. Dec2025, Vol. 61 Issue 7, p1423-1442. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Polymerase+chain+reaction%22">Polymerase chain reaction</searchLink><br /><searchLink fieldCode="DE" term="%22Sensitivity+%26+specificity+%28Statistics%29%22">Sensitivity & specificity (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Identification+of+pathogenic+microorganisms%22">Identification of pathogenic microorganisms</searchLink><br /><searchLink fieldCode="DE" term="%22Diagnostic+use+of+polymerase+chain+reaction%22">Diagnostic use of polymerase chain reaction</searchLink><br /><searchLink fieldCode="DE" term="%22Molecular+diagnosis%22">Molecular diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+accuracy%22">Statistical accuracy</searchLink>
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  Data: The traditional quantitative real-time polymerase chain reaction is the gold standard among molecular diagnostic methods and is used both for the identification of pathogens of various diseases, and for genotyping and standardization of the NGS library. The digital polymerase chain reaction technology is an upgraded version of the polymerase chain reaction, and over the past five years has proven to be more sensitive, specific, and accurate. This article provides an overview of the modern digital polymerase chain reaction platform and their comparative analysis. Special features, uses, and possible applications are selected. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Applied Biochemistry & Microbiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1134/S0003683825700188
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      – Code: eng
        Text: English
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        PageCount: 20
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      – SubjectFull: Polymerase chain reaction
        Type: general
      – SubjectFull: Sensitivity & specificity (Statistics)
        Type: general
      – SubjectFull: Identification of pathogenic microorganisms
        Type: general
      – SubjectFull: Diagnostic use of polymerase chain reaction
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      – SubjectFull: Molecular diagnosis
        Type: general
      – SubjectFull: Statistical accuracy
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              Text: Dec2025
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              Y: 2025
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