H. Lee Moffitt Cancer Center and Research Institute, Inc.

Marilyn M Bui

Mark Cassidy Cridlin Lloyd

Robert J Gillies

David L Morse

Narges Tafreshi

Steven Alan Enkemann

William Bradford Carter

Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Histology recognition to automatically score and quantify cancer grades and individual user digital whole histological imaging device

Cellular targets on cancer cells have been identified that can be used with targeted molecular imaging to detect the cancer cells in vivo. Non-invasive methods for detecting cancer cells, such as metastasized cancer cells, are therefore provided. Also provided are compositions and kits for use in the disclosed methods.

Molecular imaging of cancer cells in vivo

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Tampa, FL, United States of America

Marilyn M Bui