Kai Fung Chan

Dr. Kai Fung Chan

orcid

Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

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

Representative Publications

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17 March 2021 in Science Robotics
Verified
Journal Article
Closed access
PDF file
BWBen Wang
Ben Wang
KCKai Fung Chan
Kai Fung Chan
KYKe Yuan
Ke Yuan
Qianqian WangQianqian Wang
Qianqian Wang
XXXianfeng Xia
Xianfeng Xia
Li ZhangLi Zhang
Li Zhang
Biohybrid soft microrobots are rapidly delivered to tortuous and tiny lumens deep inside the digestive system.

10 December 2019 in Nature Communications
Verified
Journal Article
Open access
PDF file
Jiangfan YuJiangfan Yu
Jiangfan Yu
DJDongdong Jin
Dongdong Jin
KCKai Fung Chan
Kai Fung Chan
QWQianqian Wang
Qianqian Wang
KYKe Yuan
Ke Yuan
Li ZhangLi Zhang
Li Zhang
In nature, various types of animals will form self-organised large-scale structures. Through designing wireless actuation methods, microrobots can emulate natural swarm behaviours, which have drawn extensive attention due to their great potential in biomedical applications. However, as the prerequisite for their in-vivo applications, whether microrobotic swarms can take effect in bio-fluids with complex components has yet to be fully investigated. In this work, we first categorise magnetic active swarms into three types, and individually investigate the generation and navigation behaviours of two types of the swarms in bio-fluids. The influences of viscosities, ionic strengths and mesh-like structures are studied. A strategy is then proposed to select the optimised swarms in different fluidic environments based on their physical properties, and the results are further validated in various bio-fluids. Moreover, we also realise the swarm generation and navigation in bovine eyeballs, which also validates the proposed prediction in the ex-vivo environment.

26 February 2021 in Science Advances
Verified
Journal Article
Open access
PDF file
Qianqian WangQianqian Wang
Qianqian Wang
KCKai Fung Chan
Kai Fung Chan
KSKathrin Schweizer
Kathrin Schweizer
XDXingzhou Du
Xingzhou Du
DJDongdong Jin
Dongdong Jin
Li ZhangLi Zhang
Li Zhang
Ultrasound Doppler–guided formation and navigation of nanoparticle microswarm enable real-time active endovascular delivery.

4 January 2019 in Science Advances
Verified
Journal Article
Open access
PDF file
YZYabin Zhang
Yabin Zhang
LZLin Zhang
Lin Zhang
Lidong YangLidong Yang
Lidong Yang
CVChi Ian Vong
Chi Ian Vong
KCKai Fung Chan
Kai Fung Chan
Li ZhangLi Zhang
Li Zhang
We report fluorescent magnetic spore–based microrobots for remote sensing of C. diff toxins in clinical stool supernatants.

12 May 2023 in Science Advances
Verified
Journal Article
Open access
DJDongdong Jin
Dongdong Jin
QWQinglong Wang
Qinglong Wang
KCKai Fung Chan
Kai Fung Chan
NXNeng Xia
Neng Xia
HYHaojin Yang
Haojin Yang
Li ZhangLi Zhang
Li Zhang
The recent rise of swarming microrobotics offers great promise in the revolution of minimally invasive embolization procedure for treating aneurysm. However, targeted embolization treatment of aneurysm using microrobots has significant challenges in the delivery capability and filling controllability. Here, we develop an interventional catheterization-integrated swarming microrobotic platform for aneurysm on-demand embolization in physiological blood flow. A pH-responsive self-healing hydrogel doped with magnetic and imaging agents is developed as the embolic microgels, which enables long-term self-adhesion under biological condition in a controllable manner. The embolization strategy is initiated by catheter-assisted deployment of swarming microgels, followed by the application of external magnetic field for targeted aggregation of microrobots into aneurysm sac under the real-time guidance of ultrasound and fluoroscopy imaging. Mild acidic stimulus is applied to trigger the welding of microgels with satisfactory bio-/hemocompatibility and physical stability and realize complete embolization. Our work presents a promising connection between the design and control of microrobotic swarms toward practical applications in dynamic environments.

21 February 2024 in Science Robotics
Verified
Journal Article
Closed access
QWQinglong Wang
Qinglong Wang
Qianqian WangQianqian Wang
Qianqian Wang
ZNZhipeng Ning
Zhipeng Ning
KCKai Fung Chan
Kai Fung Chan
JJJialin Jiang
Jialin Jiang
Li ZhangLi Zhang
Li Zhang
Micro/nanorobotic swarms consisting of numerous tiny building blocks show great potential in biomedical applications because of their collective active delivery ability, enhanced imaging contrast, and environment-adaptive capability. However, in vivo real-time imaging and tracking of micro/nanorobotic swarms remain a challenge, considering the limited imaging size and spatial-temporal resolution of current imaging modalities. Here, we propose a strategy that enables real-time tracking and navigation of a microswarm in stagnant and flowing blood environments by using laser speckle contrast imaging (LSCI), featuring full-field imaging, high temporal-spatial resolution, and noninvasiveness. The change in dynamic convection induced by the microswarm can be quantitatively investigated by analyzing the perfusion unit (PU) distribution, offering an alternative approach to investigate the swarm behavior and its interaction with various blood environments. Both the microswarm and surrounding environment were monitored and imaged by LSCI in real time, and the images were further analyzed for simultaneous swarm tracking and navigation in the complex vascular system. Moreover, our strategy realized real-time tracking and delivery of a microswarm in vivo, showing promising potential for LSCI-guided active delivery of microswarm in the vascular system.