Rotational angle measurement for computed tomography of living single-cells

K. Ishizaki, I. Ishimaru, M. Yoshida, T. Yasokawa, S. Kuriyama, T. Masaki, S. Nakai, K. Takegawa, N. Tanaka

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

We performed a spectroscopy-tomography study of a single living cell to measure slight changes in its protein[1]. This technique, which combines high-spatial-resolution spectrometry with precise single-cell rotation, can obtain 3-dimensional distribution of proteins in high spatial resolution in real time. Rotational velocity measurement is necessary to learn the rotational direction and angle of the cell, information that is required for precise rotation. So, we propose an optical spatial filtering method for measuring the rotational angle of a low-contrast object. This proposed method derives the arbitrary component of the spatial frequency from the random refraction index distribution. In this report, we've tried to examine the proposed method using non-labeled cell. The complex distribution of refraction index is modeled by liquid crystal as the artificial non-labeled cell. We discuss the velocity vector measurement results, and the observation results of a single living human cell.

Original languageEnglish
Pages3481-3484
Number of pages4
Publication statusPublished - 2005
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: Aug 8 2005Aug 10 2005

Other

OtherSICE Annual Conference 2005
CountryJapan
CityOkayama
Period8/8/058/10/05

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Rotational angle measurement for computed tomography of living single-cells'. Together they form a unique fingerprint.

  • Cite this

    Ishizaki, K., Ishimaru, I., Yoshida, M., Yasokawa, T., Kuriyama, S., Masaki, T., Nakai, S., Takegawa, K., & Tanaka, N. (2005). Rotational angle measurement for computed tomography of living single-cells. 3481-3484. Paper presented at SICE Annual Conference 2005, Okayama, Japan.