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Derek Pyne

dblp:163/9058 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
Robot manipulation · 50% Motion planning and robot control · 25% Video understanding and tracking · 25%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Computer vision › Video understanding and tracking › object tracking
3d object tracking
0.212015
Automated robotic vitrification of embryos · ICRA 2015
Robotics › Robot manipulation › tactile sensing › contact sensing
contact detection
0.212015
Automated robotic vitrification of embryos · ICRA 2015
Robotics › Robot manipulation › grasping
pick-and-place
0.212015
Automated robotic vitrification of embryos · ICRA 2015
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.212015
Automated robotic vitrification of embryos · ICRA 2015
Medical and health informatics
in vitro fertilization
0.212015
Automated robotic vitrification of embryos · ICRA 2015

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

contact detection · 0.43d tracking · 0.4
YearPublicationVenuePosition
2015 Automated robotic vitrification of embryos
abstract
This paper reports the first robotic system for vitrification of mammalian embryos. Vitrification is a technique for preserving oocytes and embryos in clinical IVF (in vitro fertilization). The procedure involves multiple steps of stringently timed pick-and-place operation for processing an oocyte/embryo in vitrification media. In IVF clinics, vitrification is conducted manually by highly skilled embryologists. Processing one oocyte/embryo occupies the embryologist 15–20 minutes, depending on protocols chosen to implement. Due to poor reproducibility and inconsistency across operators, success rates and survival rates also vary significantly. Through collaboration with IVF clinics, we are in process to realize robotic vitrification and aim ultimately to standardize clinical vitrification from manual operation to fully automated robotic operation. Our robotic system is embedded with two contact detection methods to determine the relative Z positions of the vitrification micropipette, embryo, and vitrification straw. A 3D tracking algorithm is developed for visually servoed embryo transfer and real-time monitoring of embryo volume changes during vitrification. Excess medium is automatically removed from around the vitrified embryo on the vitrification straw to achieve a high cooling rate. Tests on mouse embryos demonstrate that the system is capable of performing vitrification with a throughput at least three times that of manual operation and achieved a high survival rate (88.9%) and development rate (93.8%).
Jun Liu 0007, Chaoyang Shi, Derek Pyne, Haijiao Liu, Changhai Ru, Yu Sun 0001
ICRA4