Virtual fluorescent labeling of engineered vascular networks with embedded tracer particles.

Sarah Eldeen¹, Michelle Lanterman², Andres Felipe Guerrero Ramirez³, Peter D Chang⁴, Elliot L Botvinick⁵

¹Department of Mathematical, Computational, and Systems Biology, University of California, Irvine, USA.

²Department of Biomedical Engineering, University of California, Irvine, USA.

³Department of Mathematical, Computational, and Systems Biology, University of California, Irvine, USA; Department of Radiological Sciences and Computer Sciences, University of California, Irvine, USA.

⁴Department of Radiological Sciences and Computer Sciences, University of California, Irvine, USA. Electronic address: changp6@hs.uci.edu.

⁵Department of Biomedical Engineering, University of California, Irvine, USA; Beckman Laser Institute and Medical Clinic, University of California, Irvine, USA; Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California, Irvine, USA; Department of Surgery, University of California, Irvine, USA. Electronic address: ebotvini@uci.edu.

PubMed DOI

Abstract

Functional microvascular networks in engineered tissues depend on coordinated endothelial-stromal interactions and evolving extracellular matrix (ECM) mechanics, yet fluorescent staining precludes longitudinal studies and is incompatible with repeated particle-based microrheology and traction force measurements. We develop a deep-learning virtual labeling approach that recovers nuclear, cytoskelet…

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