Requesting Training and Services

If you are interested in gaining access to UIC resources or requesting services please follow the steps on our training and service request page.


The University Imaging Centers provides image data analysis services to aid clients in generating quantifiable data from digital images, be it histological or fluorescence microscopy, 2D or 3D fixed cell or time-lapse, or large volume tissue data. 

Images are processed and analyzed with either open source software, such as FIJI, QuPath, or CellProfiler, or commercial software available on UIC workstations, including Living Image, Vevo, AutoQuant, PicoQuant, Nikon Elements, and Imaris. Typically, images are processed to remove background noise, then segmented and analyzed to generate colocalization data, time-lapse intensity profiles, morphometry, distance relationships, particle analyses, etc. The raw and processed images, resulting data, and image analysis methods are then copied to Google Drive and shared with the client. 

Image analysis methods can be devised by UIC staff and taught to clients so that they may execute the analyses themselves. Instruction in the use of image analysis software is provided to clients as well. Periodic webinars and workshops in various image analysis methods are given to registered clients. UIC staff members are proficient in the aforementioned software and can customize image analysis methods to generate the most accurate data possible.

Banner Video Acknowledgment

The banner movie depicts the intracellular distribution of Cy5-labeled dsDNA particles in ZsGreen1-expressing HEK 293 cells treated with a cationic bottlebrush polymer. White particles indicate internalization into nuclei while magenta particles distribute to the cytoplasm. Quantification of particle distribution was performed with Imaris software, version 9.7.1. From: Dalal, RJ, Kumar, R, Ohnsorg, M, Brown, ME, and Reineke, TM. Cationic bottlebrush polymers outperform linear polymer analogs for pDNA expression. ACS Macro Lett 2021; 10 (7): 886-893.