CLARITY technology transforms an intact tissue volume into a fully-assembled, nanoporous, hydrogel form that is both optically transparent and permeable to molecular markers.
A New Revolution In 3D Tissue Imaging
Obtaining high-resolution information from solid tumors, while maintaining the global perspective needed to understand the complex tumor microenvironment, represents a key challenge for preclinical and clinical cancer applications.
Technologies currently utilized for preclinical as well as diagnostic, prognostic, and predictive clinical cancer research and standard of care practice are dependent on 2-dimensional analysis of thin tissue sections (5-10 micron) in the format of formalin fixed paraffin embedded tissue (FFPE).
Cancer diagnosis and prognosis using thin section FFPE tissue suffer from a number of problems:
- Variable and manual tissue sample prep process
- High inter-observer variability
- Limited prognostic value due to sampling limitations
- No ability to visualize tissue structures
Other technologies utilizing molecular technologies have advanced the preclinical and clinical cancer field, however they suffer from the inability to correlate key quantitative information while maintaining tumor and the surrounding microenvironment architecture and morphology.
A new revolution in 3D volumetric, tissue imaging driven by CLARITY addresses this challenge.
CLARITY tissue processing is:
- Single sample tissue processing
- Nondestructive, slide-free, pathology
- Lipid cleared, porous hydrogel tissue construct
CLARITY allows the transformation of intact tissue into a nanoporous, hydrogel-hybridized form that is crosslinked to a three-dimensional network of hydrophilic polymers. This process produces a fully assembled, intact tissue, which is permeable to macromolecules and optically transparent, thus allowing for robust 3-dimensional imaging of subcellular components (DNA, RNA and protein) and heterogeneous cellular interactions within the tumor microenvironment. In the field of neurobiology, this novel platform has demonstrated an unprecedented capability to visualize three-dimensional architecture, connectivity and molecular relationships within neuronal tissues.