EDBT 2026 Demo / reviewers in the wild / expert
LiDan You
dblp:34/8365
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · unresolved
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 · 33% Motion planning and robot control · 33% Video understanding and tracking · 33% | |
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 3 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer vision › Video understanding and tracking › object tracking › biomedical tracking
cell tracking |
0.1 | 1 | 2010 | A micromanipulation system for single cell deposition · ICRA 2010 |
Robotics › Robot manipulation
micromanipulation |
0.1 | 1 | 2010 | A micromanipulation system for single cell deposition · ICRA 2010 |
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing |
0.1 | 1 | 2010 | A micromanipulation system for single cell deposition · ICRA 2010 |
Methods — techniques the papers use, named apart from their topics
picoliter fluid manipulation · 0.2motion control · 0.2computer vision tracking · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | A micromanipulation system for single cell depositionabstractMany microfabricated devices have been developed to quantify cellular response to a multitude of stimuli at a single-cell level in a high throughput manner. These single-cell studies require cells to be individually positioned at defined locations on a microdevice. This paper presents a micromanipulation system for automated pick-place of single cells. Integrating computer vision and motion control algorithms, the system visually tracks a cell in real time and controls multiple motion devices coordinately. Via fine manipulation of picoliter fluids and pressure of a few Pascals, the system accurately picks up a single cell, transfers the cell, and deposits it at a target location at a speed of 15-30 sec/cell. The micromanipulation system has the advantages of non-invasiveness, high specificity, and high precision. It is suitable to pick-place both non-labeled and labeled cells and applicable to standard cell culture substrates and microdevices with an open top. Zhe Lu, Christopher Moraes, LiDan You, Craig A. Simmons, Yu Sun 0001 |
ICRA | 4 |