The computer control system controls the sectioning and image acquisition sequence through the custom developed Programmable Sectioning and Cryo-Imaging (ProSCI) software. Through the Graphical User Interface (GUI), the operator enters specimen information, sets up the illumination sources, chooses imaging modality (brightfield, fluorescence or both), and defines the imaging regions-of-interest (ROI). In case a ROI needs to be imaged at a high-resolution, tiled image acquisition can be setup by defining the area and the software calculates the minimum number of tiles necessary to image the ROI. The Image Processing and Visualization system is a quad-core Windows 64-bit PC with 32GB of RAM (Dell Inc, TX) capable of handling large cryo-image volumes. A typical whole mouse, if imaged at ≈15 µm in-plane resolution and sectioned at 40 µm, generates typically >50 GB of raw data. A suite of MATLAB (Math-works, Natick, MA) custom programs and custom AMIRA (Mercury Computer Systems, San Diego, CA) scripts are used for image preprocessing tasks and 3D visualization.
Automated Cryo-Imaging System for High-Resolution Tissue Analysis
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Corresponding Organization : University Hospitals of Cleveland
Protocol cited in 9 other protocols
Variable analysis
- Sectioning thickness (2-40 µm)
- Specimen dimension (250 mm × 110 mm × 5 mm)
- Imaging modality (brightfield, fluorescence or both)
- Imaging regions-of-interest (ROI)
- Image resolution (≈3 µm in-plane)
- Raw data volume (> 50 GB for a whole mouse)
- Cryomicrotome model (8250, Vibratome)
- Stereo microscope (SZX12, Olympus)
- Digital camera (Retiga Exi, QImaging)
- Computer control system (quad-core Windows 64-bit PC with 32GB of RAM)
- Computer/manual selector switch to allow manual override and control
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