Session Title: Hands-on Training Session-3: Millions of Single Live Cell Analysis with the Automated Trans-scale-scope, AMATERAS

Session Summary:
AMATERAS is a trans-scale fluorescence imaging system that enables simultaneous observation of as many as 100,000 to 1,000,000 cells in a single field of view and observation of all cell dynamics (displacement, functional expression, state changes, etc.) as moving images (https://www.youtube.com/watch?v=af-0ih2Cl-E). This made it possible to detect unique cells and events that exist in only 0.01% or less of the one million cells. Furthermore, by installing a robotic arm and a culture incubator on this AMATERAS, automated culture and imaging of cells and organoids has become possible. Such an imaging system capable of high-throughput acquisition of large-scale data is expected to have wide range of applications, not only in life science research but also in drug discovery and medical applications. In this hands-on session, we will overview the trans-scale scope, and demonstrate several examples of observation by emphasizing a new scientific way of thinking in life science research. In the first half of this session, participants will learn how to operate AMATERAS and conduct timelapse imaging of dissociated cells, iPS-derived tissue and chick embryo. During the latter part of this session, we will conduct an in-depth analysis of the AMATERAS data using ELEPHANT, an open platform for cell tracking (https://elephant-track.github.io). Participants will engage in interactive processes to detect and track millions of cells using ELEPHANT with GPU acceleration. Furthermore, the session will provide insights into using SSBD:repository, a public repository for bioimaging data (https://ssbd.riken.jp/repository/), facilitating global sharing and collaboration.

Chairs/Speakers
サンプル
  • Takeharu Nagai
  • (Osaka University)
サンプル
  • Shuichi Onami
  • (RIKEN)
Speakers
サンプル
  • Robert E. Campbell
  • (University of Tokyo)
サンプル
  • Mako Kamiya
  • (Tokyo Institute of Technology)
サンプル
  • Imari Sato
  • (National Institute of Informatics)