Dan Dang

Dan Dang


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 May 2023 in Soft Matter
Verified
Journal Article
Closed access
PDF file
MQMeili Qi
Meili Qi
DDDan Dang
Dan Dang
XYXieliu Yang
Xieliu Yang
JWJunhai Wang
Junhai Wang
HZHemin Zhang
Hemin Zhang
WLWenfeng Liang
Wenfeng Liang
The SAW technology has emerged as an important tool for manipulating bioparticles, so we introduce the recent advancements in the manipulation of organisms based on standing and traveling SAWs, including separation, concentration, and transport.

18 September 2024 in Soft Matter
Verified
Journal Article
Closed access
PDF file
GCGuiyong Chen
Guiyong Chen
DDDan Dang
Dan Dang
CZChuang Zhang
Chuang Zhang
LQLing Qin
Ling Qin
TYTao Yan
Tao Yan
WLWenfeng Liang
Wenfeng Liang
This review aims to show the evolution of biohybrid robots, their key technologies, applications, and challenges. We believe that multimodal monitoring and stimulation technologies holds the potential to enhance the performance of biohybrid robots.

24 May 2022 in Micromachines
Verified
Journal Article
Open access
PDF file
HWHaiyang Wu
Haiyang Wu
DDDan Dang
Dan Dang
XYXieliu Yang
Xieliu Yang
JWJunhai Wang
Junhai Wang
RQRuolong Qi
Ruolong Qi
WLWenfeng Liang
Wenfeng Liang
Cells are complex biological units that can sense physicochemical stimuli from their surroundings and respond positively to them through characterization of the cell behavior. Thus, understanding the motions of cells is important for investigating their intrinsic properties and reflecting their various states. Computer-vision-based methods for elucidating cell behavior offer a novel approach to accurately extract cell motions. Here, we propose an algorithm based on area change to automatically extract the self-rotation of cells in an optically induced dielectrophoresis field. To obtain a clear and complete outline of the cell structure, dark corner removal and contrast stretching techniques are used in the pre-processing stage. The self-rotation speed is calculated by determining the frequency of the cell area changes in all of the captured images. The algorithm is suitable for calculating in-plane and out-of-plane rotations, while addressing the problem of identical images at different rotation angles when dealing with rotations of spherical and flat cells. In addition, the algorithm can be used to determine the motion trajectory of cells. The experimental results show that the algorithm can efficiently and accurately calculate cell rotation speeds of up to ~155 rpm. Potential applications of the proposed algorithm include cell morphology extraction, cell classification, and characterization of the cell mechanical properties. The algorithm can be very helpful for those who are interested in using computer vision and artificial-intelligence-based ideology in single-cell studies, drug treatment, and other bio-related fields.

23 July 2025 in Soft Matter
Verified
Journal Article
Closed access
PDF file
WLWenfeng Liang
Wenfeng Liang
DDDan Dang
Dan Dang
XYXieliu Yang
Xieliu Yang
HZHemin Zhang
Hemin Zhang
This review presents five micro/nano manipulation methods for determining intrinsic cellular electrical and mechanical properties.