Imaging and Image Informatics

If you are interested in learning more about how the high-resolution widefield deconvolution system could be useful for your research, please contact Eliza Vasile in the Center for Cancer Research at .


*Please be considerate of your fellow microscope users - if you do not think you will be able to make your schedule time, please cancel it ahead of time. Failure to turn up for your time slot within 30 minutes of the start time will release the booked time for others to use.

If you are a trained user, follow this link to book time on the microscope.

Please include your name, email address and LAB (in capitals) in the event title box.

See example below:



diagramThe primary objective of the CSBi Imaging effort is to develop and deploy technology that enables scientists to conduct quantitative image-based research on a scale sufficient for systems biology research. Although light microscopy has become a common and powerful tool in modern cell biology labs, its use remains largely qualitative. This represents a fundamental barrier between imaging and its use in the quantitative studies of systems biology. The major advantage of quantitative imaging is the ability to resolve both the chemistry and mechanics of biological systems in space and time -- currently, no other technology offers this ability. However, with this extraordinary ability in modern imaging comes complexity and scale that requires a robust infrastructure to collect, store, analyze and share terabytes (TBs) of information. While image acquisition technology continues to make large strides, methods for managing, analyzing and modeling the vast quantities of data they produce are relatively under-developed. CSBi's imaging effort is focused on developing solutions to these quantitative imaging challenges.


The CSBi Imaging Core, in collaboration with the MIT BioImaging Center, is currently developing many types of imaging and image informatics technologies.


The Imaging Core provides training and guidance in designing experiments through demonstrations and individualized training (contact James Evans).


The MIT BioImaging Center is collaborating with Cellomics Inc. to develop the next generation of high throughput screening (HTS) and high content analysis (HCA) platforms. The ArrayScan instrument enables scientists to collect and analyze fluorescent image data at subcellular resolution from 96 and 384 well plates in a completely automated fashion.

Imaging Resources Description Location
Cellomics ArrayScan BioImaging Center, NE47
API Spectris high-resolution light microscope
Click here to sign up
Center for Cancer Research, E18-578


For a complete list of imaging capabilities go to the BioImaging Center or the Keck Core Facility at the Whitehead Institute.

Computing Resources Description Location
IBM p655 cluster BioImaging Center, NE47


Data Storage Description Location
Network Appliances NetApp Nearstore system BioImaging Center, NE47



Faculty Advisor

Mark Bathe, Biological Engineering