Biophotonics Laboratory

Head of the laboratory – prof. Jānis Spīgulis

Main directions of scientific work:

Development of optical methods and devices for medical and technological applications.

• early non-invasive skin cancer diagnostics and classification of skin lesions using multispectral diffuse reflectance and autofluorescence imaging techniques combined with artificial neural network analysis;
• early detection of sepsis on the knees using multispectral imaging techniques;
• contactless photoplethysmography imaging to monitor the time of exposure to anesthesia;
• assessment and presentation of oxygen saturation in the skin;
• laser beam contrast imaging for microbial growth analysis;
• time-resolved diffuse reflectance and in vivo skin autofluorescence using time-dependent single-photon counting;
• detection of counterfeit currency by multispectral imaging techniques.

Projects:

• Applications of time-resolved spectroscopy measurements in biological tissues and materials
• Noninvasive visualization of immune cells in the upper dermal microvasculature for diagnosis of severe inflammatory conditions
• High throughput Laser speckle imaging to speed up experiments in microbiology
• Whole-body Dermoscopic Imaging in the Visible and Infrared Spectral Ranges
• Multimodal Optical Imaging for Personalized Hemodynamic Phenotyping of Microcirculation in Septic Patients
• Holographic microscopy- and artificial intelligence-based digital pathology for the next generation of cytology in veterinary medicine
• Histological recognition and analysis of veterinary tumors surgical margins by using artificial intelligence and multimodal imaging
• Non-melanoma skin cancer diagnostics by evaluating autofluorescence photobleaching kinetics
• Dynamic laser speckle imaging for evaluation of fungal growth activity
• Laser Laboratory - Europe: An Integrated Activity for a European Laser Research Infrastructure V => completed
• Multimodal optical technology for human circulation microcirculation monitoring => completed
• Fast and cost-effective machine learning based system for microorganism growth analysis => completed
• Biophotonics in veterinary medicine - administration and first steps (GoBVM) => completed
• Multimodal imaging technology for in-vivo diagnostics of skin malformations => completed
• Photoplethysmography Imaging for Chronic Pain Assessment => completed
• Development of Prototype Devices for Non-Invasive Skin Condition Assessment => completed
• Development and clinical validation of a novel cost effective multi-modal methodology for early diagnostics of skin cancers => completed
• Time-Resolved Autofluorescence Methodology for Non-Invasive Diagnosis of Skin Cancer => completed
• Fast and non-contact optical estimation of microorganisms activity => completed
• Improving Early Diagnosis of Skin Cancer with Neural Networks => completed
• Advanced Spectral Imaging Technology for Skin Diagnostics => completed