BioImage Analysis
CSIF computing's bioimage analysis projects at Stanford University


Examples of projects and tools the CSIF supports and develops.

Cell counting

High-Content screening

Cell Tracking

CSIF Events:

Biological Light Microscopy Class Spring 2017

CSB222 - MCP222 - BIOS 152

Spring 2017 (April 3-May 10)


Here are some quick guides to fluorescence light microscopy as well as the use of Python for Bioimage analysis.
While designing your experiment, you should remember that, althout a lot of problems can be fix with post-processing, acquiring good quality images, will save you a lot of time.

  • Choosing the right microscope for your application
  • Introduction to sample preparation
  • Basic concepts you should know before starting your acquisition
  • Loading microscopy images in Python
  • About

    Bioimage analysts team at CSIF.

    • Cedric Espenel

      Bioimage Analyst
      Cell Sciences Imaging Facility
      Stanford University

      As a Bioimage Analyst in the Cell Science Imaging facility (CSIF) at the Shriram Center in Stanford, Cedric Espenel’s primary responsibility is the training of new users in cutting-edge microscopy and imaging techniques and the management of the Shriram Center CSIF's sister facility. Cedric also provides expertise in assembling individual methods into complete image processing pipelines for specific projects using Python/SciPy.

    • Jon Mulholland

      Cell Sciences Imaging Facility
      Stanford University

      Jon Mulholland is Director of the Cell Sciences Imaging Facility (CSIF) at Stanford University. He has served as Director of the CSIF for over 15 years during which time he has overseen the expansion of the CSIF by establishing and setting up its current EM core, upgrading significant components of the fluorescence light microscopy core and developing the facility advanced imaging capabilities (super resolution SIM, STORM, gSTED, FLIM, FRET, array tomography).

    • Here
      Help you!


    Email me with any questions or inquiries: