Microscopy & Spectroscopy

Microscopes reveal in-depth insights into an amazing microcosm which is normally hidden to the human eye.

SCS has the necessary interdisciplinary skills for the development of hardware and software for biotechnological applications:

  • Innovation workshops: microscopy & spectroscopy
  • Analysis of customer needs, system design, choice of technology
  • Development of electronics: FPGA, GPU, Microcontrollers, PCB
  • Optoelectronic development: laser, APDs, EOCB, MOEMS
  • Software development: C/C++/C#, Java, ObjC
  • Signal and image processing, algorithm development

Since microscopy technology was first developed by eyeglass makers from the Netherlands in 1595, it has remained commercially successful; stretching across all research disciplines, many industrial applications and increasingly in our daily lives.

As conventional optical (light) microscopes quickly reached their limits of capacity (in terms of optical resolution), these traditional instruments were further developed in various ways, particularly in the 20th century. Examples include the fluorescence microscope (1908), electron microscope (1931), confocal laser scanning microscopy (1961), magnetic resonance tomography (1973), scanning tunnelling microscope (1981) and the atomic force microscope (1986), two-photon microscopy (1990) and the stimulated emission depletion (STED) microscope (1994, 1999).

Modern high-tech microscopes, particularly in the area of life science, provide a deep insight into the structure and functions of biological systems in combination with microsystem technology, process automation and digital image processing.

Optical microscope from the year 1909 (Leitz)

Automated research microscope (Leica AM6000)

Transmission electron microscope (TEM)

Microscopy & Spectroscopy – Blog Postings

  • AI at the Edge: How artificial intelligence moves from cloud to deviceAI at the Edge: How artificial intelligence moves from cloud to device
    (Unfortunately, this presentation is currently only available in German.) In naher Zukunft wird KI zu unserem Alltag gehören. So werden selbstoptimierende Maschinen, Spracherkennung sowie diagnostizierende Medizingeräte uns täglich unterstützen. Die zugrunde liegenden Algorithmen sind extrem leistungsfähig aber auch leistungshungrig. Was steckt wirklich hinter der KI? Wie kann diese «at the edge», also eingebettet im Endgerät laufen, ...