The objectives that this project proposes are the following :

  • To upgrade the scattering-SNOM microscope developed (home built) at Center for Microscopy-Microanalysis and Information Processing to enable imaging in fluorescence SNOM (FASNOM) workmode (a technique commercially unavailable), providing nanoscale resolution <10nm.
  • To advance the state-of-the art on interpretation of FASNOM data by correlating optical
    information collected on the same samples of interest by this technique and others. The
    other techniques that will be employed for supporting the interpretation of data are mature
    diffraction limited techniques (CSLM, MPLSM, SHG&THG), more recent super-resolution
    techniques (STED, f-PALM) and by a novel infrared based nanoscopy technique (LANIR)
    going to be developed in the 7th framework project entitled “Real Time Label Free Nanoscopy Using Infra Red Absorbtion (LANIR)” (to which CMMIP-UPB is partner)
  • To advance the current state-of-the art in regard to the nanoscale imaging and structural and behavioral understanding of cellular and subcellular structures.
  • To elaborate novel investigation protocols based primarily on nanoscale data collected by
    FASNOM, but also based on data collected by CSLM, MPLSM, SHG&THG, STED, that
    will enhance the early diagnosis, efficient screening and therapy of non-melanoma skin
    cancer tumors.
  • To advance the current state-of-the-art on prognostic evaluation (curing rate) of cutaneous
    carcinomas by verifying predictions supported by enhanced grading evaluation procedures
    based on FASNOM, CSLM, MPLSM, SHG&THG data.
  • To develop novel image processing methods that would enhance the visualization of
    microscopy data in terms of contrast, signal-to-noise ration and deconvolution.
  • To develop novel computer vision methods that will advance the current state-of-the art in
    regard to automated cell detection and classification, cell tracking and pattern recognition.
  • To develop novel watermarking algorithms that will enable the inclusion of case related and
    acquisition data in microscopy images, and will enable intelligent data mining within a
    digital image repository.
  • To develop an online collaborative working platform that supports digital data transfer,
    secure data archiving and storing and live telemicroscopy sessions that enable remote users to visualize and control over internet FASNOM investigation sessions