Contact, Imaging & Bioinformatics

Kuan Yan
LIACS, Leiden University
Niels Bohrweg 1
2333 CA Leiden
The Netherlands
Office 135, Snellius Building
Phone +31 (0)71 - 5277035
Fax +31 -
Email Kuan Yan
URL Bio-Imaging Group

Notes

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Pages last edited, Feb 16th 2009.

 

Biography

I was born in Shanghai, China 1982 Dec 30. Although being raised up in a big family of medical doctors, I have no intension to follow the tradition. Bioinformatics seems to be a decent compromise between my own interests and my parents' expectation. Being believed to be one of the most frontline research field, Bioinformatics will eventually dominate the research of biology and Biochemical.
Education Background
  • Jun 2008 - present: PhD student, LIACS, Leiden University
  • Sep 2006 - Jun 2008: Master of Computer Science (Bioinformatics), Leiden University
  • Sep 2002 - Jun 2006: Bachelor of Engineer (Information Technology), Hogoschool INHOLLAND
  • Research Areas

    Cell Tracking and Cellular Phenotypic Measurement in Tumor Cell Visualized by Time-lapse Microscope Video
    By revealing the correlation between gene mutation and cellular phenotype, a more objective and accurate estimation of gene pathway can be formalized in current cancer research. However, unlike more compact cell model such as red blood cell, tumor cell is highly motile and highly metastatic. It is posing a great challenge to the robustness and efficiency of existing tracking algorithms. Using cell tracking, working hour of post-experiment is reduced by 300% and accuracy of phenotype estimation is increased to 80%.
    cell tracking sample metastatic cancer cell tracking sample trajectory metastatic cancer
    Kuan Yan (copyright 2008)

    Correlation Establishing between Structural Phenotype and Cellular Phenotype
    The success in cell tracking encourages us to extend the research into cellular structure such as focal adhesion (FA). By establishing the correlation between cellular phenotype and structural phenotype, we may provide a new methodology of gene annotation and ontology construction. Our current results show a positive feedback from experimental siRNA screen data.
    focal adhesion tracking sample trajectory live image focal adhesion tracking
    Kuan Yan (copyright 2008)

    Also I am interested in
  • High-throughput and high-content data analysis
  • Modeling and simulation of cell migration
  • 3D volume construction and slice alignment
  • Self-adaptive segmentation
  • Semi-intelligent gene ontology growing
  • High-content database management
  • Yan, K., Le Dévédec, S., van de Water, B., Verbeek, F.J. (2009)
    Cell Tracking and Data Analysis of in vitro Tumour Cells from Time-Lapse Image Sequences.
    Proceedings VISAPP 2009
    Yan, K., Bertens, L., Verbeek, F.J. (2010)
    Image Registration and Realignment Using CMA-ES with High Resolution Vasculature Image Stack.
    Proceedings CGIM 2010