June 15, 2018 09:57

June 15, 2018
The University of Tokyo

 

A team made of a scientific start-up company and academic researchers has invented a new cell identification and sorting system called Ghost Cytometry. The system combines a novel imaging technique with artificial intelligence to identify and sort cells with unprecedented high-throughput speed. The scientists leading the project hope that their method will be used to identify and sort cancer cells circulating in patients’ blood, enable faster drug discovery, and improve the quality of cell-based medical therapies.

The University of Tokyo Web Site.

 


Journal Article

Sadao Ota, Ryoichi Horisaki, Yoko Kawamura, Masashi Ugawa, Issei Sato, Kazuki Hashimoto, Ryosuke Kamesawa, Kotaro Setoyama, Satoko Yamaguchi, Katsuhito Fujiu, Kayo Waki, Hiroyuki Noji.
“Ghost Cytometry,” Science (15 June 2018)
DOI: 10.1126/science.aan0096

 

Collaborators

JST PRESTO, Osaka University, RIKEN Center for Advanced Intelligence Project (AIP), and the Japan Aerospace Exploration Agency also contributed to the work. The start-up company ThinkCyte is hosted in part at the University of Tokyo Entrepreneur Plaza.

 

Media Coverage

“‘Ghost’ Cytometry May Improve Cancer Detection, Enable New Experiments,” SCIENTIFIC AMERICAN (June 14, 2018)
https://www.scientificamerican.com/article/ghost-cytometry-may-improve-cancer-detection-enable-new-experiments/

 

“Ghost Cytometry: Visually Identifying Cells Without Images,” Front Line Genomics (June 15, 2018)
http://www.frontlinegenomics.com/news/23879/ghost-cytometry-visually-identifying-cells-without-images/

 

“Thinkcyte Launches With AI-Based High-Throughput Cell Sorter,” BC EXTRA, BIOCENTURY (June 16, 2018)
https://www.biocentury.com/bc-extra/preclinical-news/2018-06-15/thinkcyte-launches-ai-based-high-throughput-cell-sorter

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