Applied Spectral Imaging (ASI) is a leading developer and manufacturer of comprehensive solutions for Cytogenetics and Pathology imaging and data management needs. With its superior quality image capture (acquisition) abilities, ASI provides state of the art diagnostic aids. All solutions are integrated into the Laboratory Information System (LIS), which incorporates Picture Archive Communication System (PACS).
The company owns more than 30 patents in the US alone, and other patents in Europe and Japan. These patents cover general use spectral imaging, image analysis, scanning techniques, spectroscopy in life science and medicine and patents for specific applications.
SpectraCube® is the light-related platform technology Applied Spectral Imaging developed. It is based on spectral imaging. Without going into a lot of technical details, it uses light's unique qualities to display information in an image that you couldn't see before. With SpectraCube®, for example, you can distinguish between different materials even if they look identical. Here, in the image on the left, it is difficult to differentiate between the red dyes. In the image on the right, the three dyes are classified by SpectraCube® and then displayed in unique colors.
The TheiaVu™ Series is a range of benchtop inspection systems that allow the user to take a wide variety of measurements, and to record repeatable, reliable data to improve processes.
KLA’s Filmetrics F40 allows you to transform your benchtop microscope into an instrument to measure thickness and refractive index.
This product profile describes the properties and applications of the ProMetric® I-SC Solution Imaging Colorimeter.
Dr. David Dung
We spoke with University of Bonn spin-off Midel Photonics, a start-up company whose laser beam shaping technology is hoping to sharpen up the laser industry.
Matthias Sachsenhauser, Ph.D.
Following Laser World of Photonics 2022, we spoke with Matthias Sachsenhauser from Hamamatsu Photonics about the role of laser-driven light sources in the future of the photonics sector.
Dr. Keith Paulsen
AZoOptics speaks to Dr. Keith Paulsen about the importance of breast cancer detection and the introduction of his team's deep-learning algorithm that associates spatial images of tissue optical properties with optical signal patterns measured during an imaging experiment or patient exam.