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Joyce Mathew

dblp:181/3902 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—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 · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › micromanipulation
cell manipulation
0.212016
A fully automated robotic system for three-dimensional cell rotation · ICRA 2016
Medical and health informatics
in vitro fertilization
0.112016
A fully automated robotic system for three-dimensional cell rotation · ICRA 2016

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

motion control · 0.5fluidic flow control · 0.5computer vision · 0.5
YearPublicationVenuePosition
2016 A fully automated robotic system for three-dimensional cell rotation
abstract
Injection and extraction of materials (e.g. protein, sperms, DNA, and blastomeres) into and from cells are essential operation for In Vitro Fertilisation (IVF), intracytoplasmic sperm injection (ICSI) and preimplantation genetic diagnosis (PGD). In order to perform the injection and extraction without damage to the cell, the cell needs to be at an optimal orientation. In this paper, a fully automated microrobotic system for cell orientation is presented. The proposed system overcomes several inherent problems in manual cell manipulation, including low efficiency, inconsistent output and poor success rate. The system can rotate a single fish embryo to a desired orientation by employing motion control, fluidic flow control, and computer vision. It is evaluated by using 60 Zebrafish embryos. Experimental results show that the system is capable of performing fast embryo orientation at a speed of 13 s/cell with a high success rate of 97.5% and a high in-plane rotation precision of 0.5°.
Ramadass Muruganandam, Joyce Mathew, Peng Cheang Wong, Wei Tech Ang, Steven Yih Min Tan, Win Tun Latt
ICRA4