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Model VIS-NIR -A New Hera in Hyperspectral Imaging
HERA IPERSPETTRALE is a compact and rugged camera that enables an innovative approach to spectral imaging. With its unique and patented technology based on time-domain Fourier Transform (FT) detection, HERA provides exceptional spatial-spectral resolution and superior sensitivity in low-light illumination conditions.
400 - 1000 nm
Spectral Range
1280 x 1024
CMOS Sensor*
1 m - Infinity
Working Distance
8 degrees
Field of View*
1 cm Clear Aperture
Exceptional Light Throughput
HERA is based on a Fourier Transform (FT) approach: the data-cube is acquired in the time-domain, by step-scanning a compact ultra-stable interferometer in front of the CMOS sensor.
The software then automatically computes an FT at each and every pixel of the image, providing the final hyperspectral data-cube.
As a result of an FT, the spectrum at each pixel is a continuous curve, so the number of bands is virtually unlimited, not defined by the hardware.
As in any other FT techniques, the spectral resolution is not constant as a function of the wavelength. Also, the spectral resolution can be simply varied via software: at each measurement, you can decide whether to acquire a high spectral resolution-image, or – if not required – a faster and lower spectral resolution-image.
Regardless of this choice, the exceptional light throughput is not affected, thanks to the FT approach.
A Superior SENSITIVITY enabling
Fluorescence Hyperspectral Imaging
Thanks to the absence of aperture slits and gratings, and to the 1 cm Clear Aperture, HERA is specifically designed to provide an extremely high light throughput, making it the ideal device for low light conditions or delicate samples.
The measurement was conducted on two different leaves (a green and a red one) of a Poinsettia plant. The leaves were illuminated with a UV LED (760 mW, 405 nm), and the weak fluorescence light was collected using a Long Pass Filter at 500 nm, to filter out the excitation light. The measurement time was approx. 100 seconds.
The false-colour image, obtained with a classification algorithm, shows the spatial distribution of the two main spectral components of the hyperspectral data-cube.