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Moving perfusion culture and live-cell imaging from lab to disc: proof of concept toxicity assay with AI-based image analysis.
Serioli, Laura; Gruzinskyte, Lina; Zappalà, Giulia; Hwu, En Te; Laksafoss, Trygvi Zachariassen; Jensen, Peter Lunding; Demarchi, Danilo; Müllertz, Anette; Boisen, Anja; Zór, Kinga.
Afiliación
  • Serioli L; The Danish National Research Foundation and Villum Foundation's Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Denmark. lauser@dtu.dk.
  • Gruzinskyte L; BioInnovation Institute Foundation, Copenhagen N 2800, Denmark.
  • Zappalà G; Department of Pharmacy, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.
  • Hwu ET; The Danish National Research Foundation and Villum Foundation's Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Denmark. lauser@dtu.dk.
  • Laksafoss TZ; The Danish National Research Foundation and Villum Foundation's Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Denmark. lauser@dtu.dk.
  • Jensen PL; Department of Electronics and Telecommunications, Politecnico di Torino, Italy.
  • Demarchi D; The Danish National Research Foundation and Villum Foundation's Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Denmark. lauser@dtu.dk.
  • Müllertz A; The Danish National Research Foundation and Villum Foundation's Center for Intelligent Drug Delivery and Sensing Using Microcontainers and Nanomechanics (IDUN), Department of Health Technology, Technical University of Denmark, Denmark. lauser@dtu.dk.
  • Boisen A; Cellari, ApS, Frederiksberg, Denmark.
  • Zór K; Department of Electronics and Telecommunications, Politecnico di Torino, Italy.
Lab Chip ; 23(6): 1603-1612, 2023 03 14.
Article en En | MEDLINE | ID: mdl-36790123
In vitro, cell-based assays are essential in diagnostics and drug development. There are ongoing efforts to establish new technologies that enable real-time detection of cell-drug interaction during culture under flow conditions. Our compact (10 × 10 × 8.5 cm) cell culture and microscope on disc (CMoD) platform aims to decrease the application barriers of existing lab-on-a-chip (LoC) approaches. For the first time in a centrifugal device, (i) cells were cultured for up to six days while a spindle motor facilitated culture medium perfusion, and (ii) an onboard microscope enabled live bright-field imaging of cells while the data wirelessly transmitted to a computer. The quantification of cells from the acquired images was done using artificial intelligence (AI) software. After optimization, the obtained cell viability data from the AI-based image analysis proved to correlate well with data collected from commonly used image analysis software. The CMoD was also suitable for conducting a proof-of-concept toxicity assay with HeLa cells under continuous flow. The half-maximal inhibitory time (IT50) for various concentrations of doxorubicin (DOX) in the case of HeLa cells in flow, was shown to be lower than the IT50 obtained from a static cytotoxicity assay, indicating a faster onset of cell death in flow. The CMoD proved to be easy to handle, enabled cell culture and monitoring without assistance, and is a promising tool for examining the dynamic processes of cells in real-time assays.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Inteligencia Artificial Límite: Humans Idioma: En Revista: Lab Chip Asunto de la revista: BIOTECNOLOGIA / QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Inteligencia Artificial Límite: Humans Idioma: En Revista: Lab Chip Asunto de la revista: BIOTECNOLOGIA / QUIMICA Año: 2023 Tipo del documento: Article País de afiliación: Dinamarca Pais de publicación: Reino Unido