Digital scientific imaging is our core business. We have been involved with this technology since the start of the 1980s, and were amongst the pioneers who imported these algorithms onto microcomputers and developed them further.
Digital imaging covers a broad spectrum of applications, in more and more diverse fields. If we limit our consideration to the scientific, technical and medical aspects, we can distinguish two types of activity: image processing and image analysis. Image processing consists of modifying an image in order to make it exploitable. A wide range of algorithmic methods (mathematical filters) allows us to render an image more meaningful for a given purpose: these methods allow us to see objects which were not visible in the initial image, to increase contrast, to segment objects, to record dynamic series, etc. The result of image processing is thus another image. In image analysis, on the other hand, we seek to extract information. The result is thus a series of numerical values, rather than an image. We can detect, count, measure and classify etc. objects present within the image by using shape recognition and learning techniques specific to each new field of application. Parameters such as form factors, texture and densitometric, morphometric and colorimetric measures are used. In general, image processing is used upstream in order to prepare an image for analysis