Projects
Modular Confocal Raman Microscope Ghent University
The envisioned equipment comprises of a modular confocal Raman microscope for bio-imaging and identification of (bio-)molecules (molecular fingerprinting). The setup includes a microscope body with positioning stage, Nd-YAG laser, detectors and spectrometers as well as a sensitive Peltier-cooled CCD camera and allows for visualizing chemical properties with diffraction limited resolution.
Replacement of confocal fluorescence microscope for visualisation of biological processes in humans and animals Ghent University
The confocal fluorescence microscope Leica TCS SP2 Laser Scanning Spectral Confocal System, localized in the Laboratory of Virology, Faculty of Veterinary Medicine is a device that is daily used by different users of the Faculties of Veterinary Medicine and Medicine and Health Sciences for the research on different biological processes (pathogenesis, immunopathology, embryology, …). It is the only confocal microscope at the Faculty of ...
Laser bench for laser scanning confocal microscopy Ghent University
Confocal laser scanning microscopy is a widespread technique in the life sciences to record high-quality images of biological specimen. Laser illumination is used to excite fluorescent markers in biological samples. In this project budget is requested to replace the laser illumination system of a heavily used confocal microscope, as it is getting near the end of its lifetime.
AQ²UABIT – Advanced Qualitative and QUantitative surface Analysis of BITuminous binders using laser scanning confocal microscopy. University of Antwerp
Confocal laser scanning microscopy for infertility and stem cell research Ghent University
The Fluoview FV3000 (Olympus, Belgium) is a self-contained confocal laser scanning fluorescence microscope, that allows for capturing confocal images that can be modified and studied on later on. For the different research topics that we are currently studying, confocal imaging is a frequently used tool to analyze our data both for clinical (diagnosis) and research purposes.
Quantitative automatic analysis of confocal digital images of the cornea Ghent University
This proposal aims to develop and validate algorithms for image quality improvement, segmentation and extraction of clinically relevant parameters, for automated quantitative analysis of confocal digital images of the cornea. This is done to reduce the analysis time and to avoid subjective errors associated with manual, or a semi-automatically work made by the medical specialist.