AI+ for Quantitative Imaging

The AI+ Quantitative Imaging Shared Facility aims to advance microscopy image processing and analysis through the development and application of computer vision, AI, and deep learning techniques. This initiative is a collaborative effort between the Data Science Institute (DSI) and the Center for Living Systems (CLS) at the University of Chicago.

Office Hours:
We host office hours dedicated to image processing and analysis open to anyone from the broader UChicago research community.

Office Hours Details:
Time: Every Friday, 2:00 PM – 3:00 PM
Location: GCIS Meeting Room 400A

For detailed information on collaboration guidelines, please refer to our handbook.

If you have any needs related to image processing and analysis in your projects, we welcome you to join us for discussion and support. Our team is here to assist with any challenges you may be facing and to help improve your imaging projects. 

Tutorials and Courses

  • CLS Image Analysis Seminars
    We host a series of seminars dedicated to image processing and analysis for CLS labs and for the broader research community, enabling image analysis fundamentals and facilitating research projects employing ML/DL based advanced approaches. Topics include: cell segmentation, cell tracking, particle tracking, feature extraction and morphology analysis and quantitative intensity analysis.
  • DSI Clinic Course
    Project-based Data Science Clinic course starting 2024 Fall. Project: AI-based cell segmentation application and evaluation. Information could be found at https://datascience.uchicago.edu/education/data-science-clinic/ (after the school year starts)

Resources

Github
A hub of code repositories and projects in CLS labs (under construction)

Slides of the CLS Image Analysis Seminars:

Seminar #1: Cell Segmentation 2D slides

Seminar #2: Cell Segmentation 3D & Training slides

Seminar #3: Cell Tracking slides

Seminar #4: Particle Tracking slides

Personnel

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Liya Ding, PhD
Data scientist of CLS and DSI
Email: liyading at uchicago.edu

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