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Dixiao Chen

dblp:246/7753 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-8839-8492ORCID · corroborated

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

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

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
Computational science and engineering · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › micromanipulation
cell injection
0.412019
Cell Injection Microrobot Development and Evaluation in Microfluidic Chip · ICRA 2019
Robotics › Robot manipulation › micro/nano robotics
microrobot
0.412019
Cell Injection Microrobot Development and Evaluation in Microfluidic Chip · ICRA 2019
Computational science and engineering
microfluidic device
0.112019
Cell Injection Microrobot Development and Evaluation in Microfluidic Chip · ICRA 2019

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

membrane actuation · 0.8magnetic control · 0.8
YearPublicationVenuePosition
2020 Anticipating tumor metastasis by circulating tumor cells captured by acoustic microstreaming
abstract
Circulating tumor cells (CTCs) are the primary cause of tumor metastasis after surgery. Metastatic tumor recurrence is the leading reason of cancer death. It is prerequisite to develop a platform for CTCs separation to predict the cancer cell transfer in important organs. Herein, a novel acoustic microfluidic device was designed to capture the "true" CTCs from the whole blood sample. The blood got from the mice with breast tumors removed. There are some CTCs that have escaped from the solid tumor contained in these blood samples, instead of artificially mixing individual tumor cells into normal blood. In addition, the predictions of tumor prognosis are made based on the number of CTCs captured by the acoustofluidic device. Finally, the prediction has been confirmed through long-term observation of mice with tumor excised. The acoustofluidic device can efficiently capture CTCs and predict the tumor metastasis, which can help clinicians plan follow-up treatment for patients who have had their tumors surgically removed.
Bin Song 0008, Dixiao Chen, Yuguo Dai, Lin Feng 0002, Fumihito Arai
IROS3
2019 Cell Injection Microrobot Development and Evaluation in Microfluidic Chip
abstract
We propose an innovative design of microrobot, which can achieve donor cell suction, delivery and injection in a mammalian oocyte on microfluidic chip. The microrobot body contains a hollow space that produces suction and ejection forces for injection of cell nuclei using a nozzle at the tip of the robot. Specifically, a controller changes the hollow volume by balancing the magnetic and elastic forces of the membrane, and along with motion of stages in the XY plane. A glass capillary attached at the tip of the robot contains the nozzle is able to absorb and inject cell nuclei. The microrobot provides three degrees of freedom and generates micronewton forces. We demonstrate the effectiveness of the proposed microrobot through an experiment of absorption and ejection of 20 μm particles from the nozzle using magnetic control in a microfluidic chip.
Lin Feng 0002, Dixiao Chen, Bin Song 0001, Wei Zhang 0049
ICRA2