Deep Learning-Enhanced Raman Microspectroscopy Enables Rapid Microbial Classification and Captures Phylogenetic Relationships.

Saved in:
Bibliographic Details
Title: Deep Learning-Enhanced Raman Microspectroscopy Enables Rapid Microbial Classification and Captures Phylogenetic Relationships.
Authors: Liu B; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China.; College of Life Sciences, South-Central Minzu University, Wuhan 430074, China.; State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China., Gu Z; College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China., Xu X; State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China., Lu W; State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China., Liu T; College of Life Sciences, South-Central Minzu University, Wuhan 430074, China., Gao X; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China., Chen X; College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China., Fu YV; College of Life Sciences, South-Central Minzu University, Wuhan 430074, China.
Source: Microorganisms [Microorganisms] 2026 Jun 11; Vol. 14 (6). Date of Electronic Publication: 2026 Jun 11.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101625893 Publication Model: Electronic Cited Medium: Print ISSN: 2076-2607 (Print) Linking ISSN: 20762607 NLM ISO Abbreviation: Microorganisms Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42354936
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Deep Learning-Enhanced Raman Microspectroscopy Enables Rapid Microbial Classification and Captures Phylogenetic Relationships.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Liu+B%22">Liu B</searchLink>; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China.; College of Life Sciences, South-Central Minzu University, Wuhan 430074, China.; State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.<br /><searchLink fieldCode="AU" term="%22Gu+Z%22">Gu Z</searchLink>; College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China.<br /><searchLink fieldCode="AU" term="%22Xu+X%22">Xu X</searchLink>; State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.<br /><searchLink fieldCode="AU" term="%22Lu+W%22">Lu W</searchLink>; State Key Laboratory of Microbial Diversity and Innovative Utilization, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.<br /><searchLink fieldCode="AU" term="%22Liu+T%22">Liu T</searchLink>; College of Life Sciences, South-Central Minzu University, Wuhan 430074, China.<br /><searchLink fieldCode="AU" term="%22Gao+X%22">Gao X</searchLink>; Medical Science and Technology Innovation Center, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250117, China.<br /><searchLink fieldCode="AU" term="%22Chen+X%22">Chen X</searchLink>; College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China.<br /><searchLink fieldCode="AU" term="%22Fu+YV%22">Fu YV</searchLink>; College of Life Sciences, South-Central Minzu University, Wuhan 430074, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101625893%22">Microorganisms</searchLink> [Microorganisms] 2026 Jun 11; Vol. 14 (6). <i>Date of Electronic Publication: </i>2026 Jun 11.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI+AG%22">MDPI AG </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101625893 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2076-2607 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220762607%22">20762607 </searchLink><i>NLM ISO Abbreviation: </i>Microorganisms <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42354936
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3390/microorganisms14061311
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: Deep Learning-Enhanced Raman Microspectroscopy Enables Rapid Microbial Classification and Captures Phylogenetic Relationships.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu B
      – PersonEntity:
          Name:
            NameFull: Gu Z
      – PersonEntity:
          Name:
            NameFull: Xu X
      – PersonEntity:
          Name:
            NameFull: Lu W
      – PersonEntity:
          Name:
            NameFull: Liu T
      – PersonEntity:
          Name:
            NameFull: Gao X
      – PersonEntity:
          Name:
            NameFull: Chen X
      – PersonEntity:
          Name:
            NameFull: Fu YV
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 11
              M: 06
              Text: 2026 Jun 11
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 2076-2607
          Numbering:
            – Type: volume
              Value: 14
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Microorganisms
              Type: main
ResultId 1