HySP Technology

PhaseSpec’s Approach

You just delivered an instant image cube to your customer in the field.  Why not provide an instant answer? PhaseSpec has developed and advanced a new approach to the analysis of hyperspectral imaging datasets – HySP – to provide a solution for the increasing need of analyzing hyperspectral data on the spot.

✔ Unprecedented speed for hyperspectral data processing


All of HySP’s analysis — segmentation, unmixing and classification — take place in Fourier space and produce a simple 2D plot. This innovative approach significantly reduces processing time even for large data sets. 

✔ High quality results even with noisy data


HySP works extremely well with any image quality. It embeds a denoising function to ensure the data quality is not affected by platform stability, illumination, motion, or user ability, making it ideal for data from mobile devices.

✔ Compatibility with mobile devices


HySP runs smoothly and efficiently on all platforms and devices, including smartphones and tablets. A custom version can also be created to run on embedded processors.

✔ User-friendly interface with minimal requirement of user input


HySP provides a simple user interface and requires minimal user inputs or pre-processing.

✔ Easy customization with application-specific libraries


HySP is a platform technology for which one can create custom classification libraries for any specific applications, such as plant health, fruit grading, and biomedical imaging.


Biophotonics, October 2017 Y. Chen, L. A. Trinh, J. Fingler, S. E. Fraser “3D in vivo imaging with extended-focus optical coherence microscopy .” J. Biophotonics 10:1390.

iOVS, July 2017 Andrew Brown and Cosimo Arnesano “Structural and Functional Characterization of Human Stem-Cell-Derived Retinal Organoids by Live Imaging.” iOVS 58:3311–3318.

Nature Methods, April 2017 Francesco Cutrale and Le A. Trinh “Hyperspectral phasor analysis enables multiplexed 5D in vivo imaging.” Nature Methods14:149–152.