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Kazusa Otani

dblp:334/3021 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021

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
Robot manipulation · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
micromanipulation
0.812024
Robotic capillary insertion to the Xenopus oocyte using microscopic image analysis and QCR force sensor · ICRA 2024

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

quartz crystal resonator force sensing · 1.5microscopic image analysis · 1.5calibration · 1.5
YearPublicationVenuePosition
2024 Robotic capillary insertion to the Xenopus oocyte using microscopic image analysis and QCR force sensor
abstract
This paper presented the three-dimensional oocyte manipulation system for the two-electrode voltage clamp (TEVC) experiment under stereomicroscopy. We firstly developed a sequential calibration method to correlate the workspace of the stereomicroscopy with the image and the micromanipulator. Even though the focal depth of the microscopy was limited, the proposed method functioned the three-dimensional position detection and calculated the homogeneous transformation matrix. We secondly employed hybrid use of the image-based manipulation and the quartz crystal resonator (QCR) force sensor. The imaging technique was used to detect the tip of the glass capillary and the contact to the cell membrane, whereas the QCR force sensor was incorporated to detect the force interaction between the sample and the glass capillary. Using the system and proposed technique, we demonstrated the automatic capillary insertion for TEVC experiment, at which the low insertion depth was preferable. The results indicated that the coordination calibration technique provided the positioning accuracy of the capillary tip on the order of 10 μm. The imaging technique could detect the contact to the elastic objects and cell membrane. QCR force sensor achieved quite small force measurement and feedback control at the control frequency of 100 Hz without latency.
Kazusa Otani, Hirotaka Sugiura, Shiro Watanabe, Bilal Turan, Satoshi Amaya, Fumihito Arai
ICRA1