Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Takeshi Toujo

dblp:268/6911 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Motion planning and robot control · 67% Robot navigation and mapping · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot navigation and mapping
image stabilization
0.112008
Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008
Robotics › Motion planning and robot control
robot control
0.112008
Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.112008
Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008
Medical and health informatics
medical imaging
0.012008
Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control · IEEE Trans. Robotics 2008

Methods — techniques the papers use, named apart from their topics

high-speed visual feedback control · 0.2five-bar linkage · 0.2piezoelectric actuators · 0.1piezoelectric actuator · 0.1
YearPublicationVenuePosition
2008 Image Stabilization for In Vivo Microscopy by High-Speed Visual Feedback Control
abstract
This paper presents image stabilization for microscopy using horizontal visual feedback control of the objective lens through a five-bar linkage and piezoelectric actuators, and its application to in vivo imaging. Even very small in vivo motion due to heartbeat and breathing makes microscopic observation difficult by blurring the microscope image or impossible by sending a region of interest out of view. In order to remove those unwanted effects of the motion, we have introduced motion-canceling robotic technologies into microscopy. Our image stabilization system through motion-canceling provides users with stabilized image sequences with respect to trembling of in vivo subjects. The developed image stabilization system, in term of robotics, corresponds to a visual feedback control system that consists of a robotic mechanism and a high-speed vision. A high-speed camera installed in the microscope detects the motion of the in vivo subject having topically applied fiducials. To virtually cancel this motion, we move the objective lens, synchronizing the motions of the subject and the lens to remove the relative motion between the two. As a result, we observe motion-free images to m. This technology is one of the very demanding technologies in biological research for in vivo observation with high resolution. In this paper, we verify the effectiveness of the developed system through in vivo experiments.
Sungon Lee, Yoshihiko Nakamura, Katsu Yamane, Takeshi Toujo, Seiya Takahashi, Yoshihisa Tanikawa, Hajime Takahashi
IEEE Trans. Robotics4