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Seiya Takahashi

dblp:44/4421 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2009
0009-0003-0396-1413ORCID · corroborated

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2Applied, 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.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Medical and health informatics · 79% Bioinformatics and computational biology · 21%
Artificial intelligence
1 paper
Motion planning and robot control · 67% Robot navigation and mapping · 33%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Medical and health informatics
cell manipulation
0.222009
Fluorescent monitoring using microfluidics chip and development of syringe pump for automation of enucleation to automate cloning · ICRA 2009
Injection and cutting methods of animal cells using a microfluidic chip · ICRA 2008
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

microfluidic chip · 0.2high-speed visual feedback control · 0.2five-bar linkage · 0.2syringe pump · 0.1fluorescence monitoring · 0.1piezoelectric actuators · 0.1piezoelectric actuator · 0.1high-velocity fluid flow · 0.1
YearPublicationVenuePosition
2009 Fluorescent monitoring using microfluidics chip and development of syringe pump for automation of enucleation to automate cloning
abstract
We have developed a novel technique for fluorescent monitoring of a bovine oocyte nucleus for an automatic cloning device. Animal cells that have been chemically softened by cytochalasin and stained with Hoechst dye are aspirated into a thin microchannel of a microfluidic chip and stretched thin, allowing the nucleus of the expanded oocyte to be monitored. Half the volume of the oocyte is aspirated into the thin microchannel and a high-velocity fluid flow is generated in the wide microchannel to bisect the oocyte. Then, the half-oocytes are monitored to determine which contains the nucleus. To control flow velocity with high accuracy and rapid response, we also developed a syringe pump that is small, has no backlash, and has highly-accurate volume control and a good response for automatic cutting. In this report, we describe the monitoring method and construction of the syringe pump.
Akihiko Ichikawa, Tamio Tanikawa, Kazutsugu Matsukawa, Seiya Takahashi, Kohtaro Ohba
ICRA4
2008 Injection and cutting methods of animal cells using a microfluidic chip
abstract
We have developed a novel technique for injecting and cutting animal cells for an automatic cloning system. Animal cells that have been chemically softened are aspirated into a narrow teflon tube, which is then inserted into a microfluidic chip. The tube's tip is inserted into a microchannel and releases the aspirated cells in the microchannel. The microfluidic chip contains two orthogonal channels. One is a narrow microchannel that aspirates and fixes a cell; in the other channel, a fluid flows at high velocity for cutting the aspirated cell. The thickness of the aspiration channel can be adjusted to fix the aspirated cell. Half the volume of the cell is aspirated into the narrow microchannel and high-speed flow is then generated to cut the cell into two. In this report, the cutting method and the injection method are described. Then an imaging process is also investigated for an automatic cutting.
Akihiko Ichikawa, Seiya Takahashi, Kazutsugu Matsukawa, Tamio Tanikawa, Kohtaro Ohba
ICRA2
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. Robotics5