View in EDS

Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells.

Saved in:
Bibliographic Details
Title: Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells.
Authors: Rademaker DT; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands., Koopmans JJ; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands., Thyen GMSM; Radboud Center for Infectious Diseases, Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands., Piruska A; Institute for Molecules and Materials, Radboud University, 6525 AJ Nijmegen, the Netherlands., Huck WTS; Institute for Molecules and Materials, Radboud University, 6525 AJ Nijmegen, the Netherlands., Vriend G; Baco Institute for Protein Science, Mindoro 5201, Philippines., 't Hoen PAC; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands., Kooij TWA; Radboud Center for Infectious Diseases, Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands., Huynen MA; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands., Proellochs NI; Radboud Center for Infectious Diseases, Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.
Source: IScience [iScience] 2023 Nov 23; Vol. 26 (12), pp. 108542. Date of Electronic Publication: 2023 Nov 23 (Print Publication: 2023).
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 101724038 Publication Model: eCollection Cited Medium: Internet ISSN: 2589-0042 (Electronic) Linking ISSN: 25890042 NLM ISO Abbreviation: iScience Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 38089575
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Rademaker+DT%22">Rademaker DT</searchLink>; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Koopmans+JJ%22">Koopmans JJ</searchLink>; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Thyen+GMSM%22">Thyen GMSM</searchLink>; Radboud Center for Infectious Diseases, Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Piruska+A%22">Piruska A</searchLink>; Institute for Molecules and Materials, Radboud University, 6525 AJ Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Huck+WTS%22">Huck WTS</searchLink>; Institute for Molecules and Materials, Radboud University, 6525 AJ Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Vriend+G%22">Vriend G</searchLink>; Baco Institute for Protein Science, Mindoro 5201, Philippines.<br /><searchLink fieldCode="AU" term="%22't+Hoen+PAC%22">'t Hoen PAC</searchLink>; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Kooij+TWA%22">Kooij TWA</searchLink>; Radboud Center for Infectious Diseases, Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Huynen+MA%22">Huynen MA</searchLink>; Medical BioSciences, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Proellochs+NI%22">Proellochs NI</searchLink>; Radboud Center for Infectious Diseases, Medical Microbiology, Radboud University Medical Center, 6525 GA Nijmegen, the Netherlands.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101724038%22">IScience</searchLink> [iScience] 2023 Nov 23; Vol. 26 (12), pp. 108542. <i>Date of Electronic Publication: </i>2023 Nov 23 (<i>Print Publication: </i>2023).
– 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="%22Cell+Press%22">Cell Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101724038 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2589-0042 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225890042%22">25890042 </searchLink><i>NLM ISO Abbreviation: </i>iScience <i>Subsets: </i>PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=38089575
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.isci.2023.108542
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 108542
    Titles:
      – TitleFull: Quantifying the deformability of malaria-infected red blood cells using deep learning trained on synthetic cells.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Rademaker DT
      – PersonEntity:
          Name:
            NameFull: Koopmans JJ
      – PersonEntity:
          Name:
            NameFull: Thyen GMSM
      – PersonEntity:
          Name:
            NameFull: Piruska A
      – PersonEntity:
          Name:
            NameFull: Huck WTS
      – PersonEntity:
          Name:
            NameFull: Vriend G
      – PersonEntity:
          Name:
            NameFull: 't Hoen PAC
      – PersonEntity:
          Name:
            NameFull: Kooij TWA
      – PersonEntity:
          Name:
            NameFull: Huynen MA
      – PersonEntity:
          Name:
            NameFull: Proellochs NI
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 23
              M: 11
              Text: 2023 Nov 23
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-electronic
              Value: 2589-0042
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 12
          Titles:
            – TitleFull: IScience
              Type: main
ResultId 1