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Donna H. Wang

dblp:11/5905 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—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
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › micro/nano manipulation
nanomanipulation
0.112005
Functionalized Nano-Robot End Effector for in situ Sensing and Manipulation of Biological Specimen · ICRA 2005
Bioinformatics and computational biology
single-molecule analysis
0.012005
Functionalized Nano-Robot End Effector for in situ Sensing and Manipulation of Biological Specimen · ICRA 2005

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

antibody functionalization · 0.1
YearPublicationVenuePosition
2005 Functionalized Nano-Robot End Effector for in situ Sensing and Manipulation of Biological Specimen
abstract
Atomic force microscopy is a powerful and widely used imaging technique that can visualize single molecules both in air and solution. Using the AFM tip as the end effector, it can be modified into a nano-robot which can manipulate objects in nanoscale. By functionalizing the nano-robot end effector with antibodies, atomic force microscopy is able to identify specific types of receptors on cells’ membrane in an image much as fluorescent tags do in optical microscopy but with higher resolution. After the single receptors have been identified, it becomes possible to manipulate these biological macromolecules in their physiological environment. This new technology open a promising way to study the function of biological macromolecules individually.
Guangyong Li, Ning Xi 0001, Donna H. Wang
ICRA3