Lab Resources

The STIM Lab houses several resources designed to optimize high-throughput data collection, analysis, and visualization. If you are interested in collaborating, please contact Dr. Mayerich) or send an email to


The STIM Lab is equipped with several highly customizable workstations equipped with high-end nVidia GPUs for CUDA applications. While these systems vary based on user needs, they are generally equipped with an Intel i7 processor, X99 (DDR4) chipset, 16GB of memory, and at least one nVidia GTX 970.

Network Accessible Storage (NAS)

The STIM Lab maintains a local NAS with 20TB of raw storage to provide a collaborative workspace for large data sets. This is a custom server using the ZFS file system and running FreeNAS. Data acquired using laboratory instrumentation are stored redundantly among several systems using BitTorrent Sync. Individual data sets can be accessed anywhere using a public key available from laboratory personnel (

Ultimaker 2 3D Printer

We use an Ultimaker 2 printer to fabricate various components. This printer provides a 20 micrometer layer resolution and a 20 cubic centimeter build volume. Standard ABS and PLA spools can be used. Models must be provided using a micro-SD card in the appropriate format. Most formats are supported by loading the model into CURA and exporting. A microSD-to-USB adapter is available in the lab.


One of our main research goals is to produce accessible applications for data processing, image analysis, segmentation, and modeling. All of our published software is available via our internal Git server or GitHub. Documentation for most of our source code can be produced using Doxygen (a default Doxyfile is provided in the repository). A detailed description of several of our applications is provided on our software resource page and instructions for building source code are available in our Software Build Guide.


The STIM Lab houses several instruments designed for high-throughput imaging and microscopy. A detailed description is available on our instrumentation page.