Spectrum cameras: Located at the focus of the imaging spectrometer, the camera records the sample spectra. Spectrum cameras are chosen as a function of anticipated signal strength.
LightForm partners with camera manufacturers that supply the appropriate camera consistent with an application.
Zoom light-collection optics: LightForm integrates lenses optimized for the application. For example, microscope objectives may be necessary for biopsy samples, while telephoto lenses would be used to image ponds polluted with deadly cyanobacteria. There is no one lens solution that fits all applications.
LightForm specializes in developing zoom magnification optics that eliminate the need for multiple lenses or objectives. While zoom camera lenses are commonplace most, if not all de-magnify a field of view (FOV). PARISS zoom magnification optics accommodates objects that are less than one micron in size. Go here for details:
Software: PARISS software is written in Python, with spectroscopy utilities that include: %reflection, absorption, %transmission, fluorescence, luminescence… Math functions include smoothing, background subtraction, division, multiplication, noise reduction… Go here for details
Spectral classification: Spectra present that can be associated with objects or conditions are assembled into classes. Selected classes can then be added to a “Reference Spectral Library.” Correlation functions enable the extent of a class to be controlled and optimized.
Reference spectral libraries (RSL): RSLs consist of a collection of spectral classes consistent with a given application or sample type. RSLs can be created, added to, or edited. Spectral classes can be named and pseudo-colored
Spectra recognition algorithms: Enables objects in new samples to be “recognized” by correlating their spectra with those in an RSL. A recognized object acquires the pseudo-color of the associated RSL component class.