Professor Gabriel Landini
Gabriel’s research interests have been directed to the development of innovative quantitative markers of biological complexity. These include applications of fractal geometry and image analysis for the characterisation of biological shape to be able to understand and characterise morphological changes taking place in pathological conditions, in particular Oral Cancer.
Current research interests include the development evidence-based methods of morphological analysis which underpin the emerging discipline of Intelligent Microscopy. In this area, formal quantitative analyses are processed by machine-reasoning procedures, so testable algorithms can replace the subjective components of traditional observer-based microscopy and histopathology to create more reliable means of diagnosis.
Gabriel is also involved in the development of visualisation enhancements to histological imagery for dichromatic (colour blind) individuals.
Gabriel is part of the international group of scientists contributing to the development of open source image processing modules for scientific imaging using the ImageJ and Fiji platforms.