University of Cambridge > Talks.cam > Three-dimensional cell culture: Innovations in tissue scaffolds and biomimetic systems > Cell scaffold dimensional metrology using high resolution 3D printing methods and machine learning

Cell scaffold dimensional metrology using high resolution 3D printing methods and machine learning

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  • UserFilippos Tourlomousis, Stevens Institute of Technology, Hoboken, United States
  • ClockTuesday 07 February 2017, 16:00-16:30
  • HouseOnline.

If you have a question about this talk, please contact Ilana Spilka.

The first part of the talk will focus on the Melt Electrospinning Writing process, an emerging 3D printing technology that utilizes polymer melts for the fabrication of biomaterial scaffolds with cellular relevant geometrical features (10 – 50 μm) that are unattainable with current 3D printing technologies. Using immunofluorescent staining and confocal microscopy, detailed cell shape characterization is performed by detecting and quantifying important cell morphometry features. Machine learning algorithms are used for important feature extraction and cell shape classification tasks. These fundamental cell-scaffold dimensional metrology studies allow us to inform our fabrication process and engineer fibrous microenvironments that promote a homogeneous cell population.

This talk is part of the Three-dimensional cell culture: Innovations in tissue scaffolds and biomimetic systems series.

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