Summary of ssbd-repos-000199


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DOI
Title
A set of imaging data related to the development of trans-scale scope and its application to biological study
Description

optical images indicating optical performance of the imaging method, images of centimeter-scale dynamics of multicellular systems (MDCK cells, HeLa cells, Dictyostelium Discoidium) observed with sub-cellular resolution

Submited Date
2021-09-23
Release Date
2021-09-30
Updated Date
2021-10-08
License
Data size
602.5 GB
Data formats
TIFF, BMP

Organism
Mouse, Canis Lupus Familiaris, Homo sapiens, Dictyostelium discoideum
Strain
unknown
Cell Line
MDCK cell, HeLa cell, Ax2 cells
Molecular Function (MF)
NA
Biological Process (BP)
Calcium signaling, cAMP signaling
Cellular Component (CC)
Whole cell, Cell nucleus
Study Type
Brain slice, Cell cycle, Calcium signaling, Pattern formation
Imaging Methods
AMATERAS, trans-scale scope

Method Summary

Ichimura, T., Kakizuka, T., Horikawa, K. et al. Exploring rare cellular activity in more than one million cells by a transscale scope. Sci Rep 11, 16539 (2021).

Related paper(s)

T Ichimura, T Kakizuka, K Horikawa, K Seiriki, A Kasai, H Hashimoto, K Fujita, T M Watanabe, T Nagai (2021) Exploring rare cellular activity in more than one million cells by a transscale scope., Scientific reports, Volume 11, Number 1, pp. 16539

Published in 2021 Aug 16 (Electronic publication in Aug. 16, 2021, midnight )

(Abstract) In many phenomena of biological systems, not a majority, but a minority of cells act on the entire multicellular system causing drastic changes in the system properties. To understand the mechanisms underlying such phenomena, it is essential to observe the spatiotemporal dynamics of a huge population of cells at sub-cellular resolution, which is difficult with conventional tools such as microscopy and flow cytometry. Here, we describe an imaging system named AMATERAS that enables optical imaging with an over-one-centimeter field-of-view and a-few-micrometer spatial resolution. This trans-scale-scope has a simple configuration, composed of a low-power lens for machine vision and a hundred-megapixel image sensor. We demonstrated its high cell-throughput, capable of simultaneously observing more than one million cells. We applied it to dynamic imaging of calcium ions in HeLa cells and cyclic-adenosine-monophosphate in Dictyostelium discoideum, and successfully detected less than 0.01% of rare cells and observed multicellular events induced by these cells.
(MeSH Terms)
Related paper(s)

Ichimura, T., Kakizuka, T., Horikawa, K., Seiriki, K., Kasai, A., Hashimoto, H., Fujita, K., Watanabe, T. M., Nagai, T. (2021/01/01), Exploring rare cellular activity in more than one million cells by a trans-scale-scope, 2020.06.29.179044

Published in 2021/01/01

(Abstract) In many phenomena of biological systems, not a majority, but a minority of cells act on the entire multicellular system causing drastic changes in the system properties. To understand the mechanisms underlying such phenomena, it is essential to observe the spatiotemporal dynamics of a huge population of cells at sub-cellular resolution, which is difficult with conventional tools such as microscopy and flow cytometry. Here, we describe an imaging system named AMATERAS that enables optical imaging with an over-one-centimeter field-of-view and a-few-micrometer spatial resolution. This trans-scale-scope has a simple configuration, composed of a low-power lens for machine vision and a hundred-megapixel image sensor. We demonstrated its high cell-throughput, capable of simultaneously observing more than one million cells. We applied it to dynamic imaging of calcium ions in HeLa cells and cyclic-adenosine-monophosphate in Dictyostelium discoideum, and successfully detected less than 0.01% of rare cells and observed multicellular events induced by these cells.Competing Interest StatementThe authors have declared no competing interest.

Contact(s)
Takeharu Nagai
Organization(s)
Osaka University , SANKEN (The Institute of Scientific and Industrial Research)
Image Data Contributors
Taro Ichimura, Taishi Kakizuka
Quantitative Data Contributors
Taro Ichimura, Taishi Kakizuka

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