Three major opportunities for improvement in early-stage in vitro and animal model studies are to improve the predictive capability of in vitro models themselves, the extraction of more complete data from cell cultures and animal models, and to shift from qualitative histological evaluation to a quantitative digital pathology approach. Through this webinar, Visikol will focus its discussion on the use of 3D cell culture models, the application of 3D tissue imaging for studying complex phenomena such as angiogenesis and how digital pathology and machine learning can be used to extract quantitative data from tissues. Several areas of ongoing research being pursued at Visikol will be discussed. Michael Johnson, PhD is a 2017 Forbes 30 Under 30 honoree and the CEO and Co-Founder of Visikol Inc., which is a bio-imaging company that spun out of Rutgers University in 2016 and that Michael founded along with his fellow PhD candidate Thomas Villani and colleague Nick Crider. Michael's research background has focused on a wide range of projects from remote sensing research with NASA to building light sheet microscopes and producing biofuels.