Foto del docente

Filippo Piccinini

Ricercatore a tempo determinato tipo b) (senior)

Dipartimento di Scienze Mediche e Chirurgiche

Settore scientifico disciplinare: FIS/07 FISICA APPLICATA (A BENI CULTURALI, AMBIENTALI, BIOLOGIA E MEDICINA)

Temi di ricerca

Parole chiave: Computer Vision Machine Learning Image Processing Microscopy & Imaging 3D Cell Cultures

Tutti i miei progetti di ricerca sono basati su applicazioni Informatiche a servizio della Microscopia per risolvere problemi aperti in biologia e medicina.

In particolare, assieme a collaboratori e tesisti, abbiamo sviluppato una serie di software e tools.

Vedere ad esempio:

  • Advanced Cell Classifier, for classifying cells in high-content screening images. http://www.cellclassifier.org
  • AnaSP, software suite to segment brightfield images of multicellular spheroids. http://sourceforge.net/p/anasp
  • AND-Tool, Matlab tool for segmenting nuclei in 2D widefield images stained with DAB. http://sourceforge.net/projects/andtool/
  • CellTracker, for tracking in 2D cells cultured in vitro. http://celltracker.website
  • CIDRE, for correcting the illumination field of microscopy images. http://www.nature.com/nmeth/journal/v12/n5/full/nmeth.3323.html
  • Colour Deconvolution 2, ImageJ/Fiji plugin for stain unmixing in RGB histological images. Prof. Gabriel Landini webpage
  • DS4H Image Alignment, ImageJ/Fiji plugin for aligning images based on markers manually defined. www.filippopiccinini.it/DS4H-IA.html
  • F-Tracker3D, for tracking in 3D fluorescent particles imaged with a confocal/light-sheet microscope. http://sourceforge.net/p/f-tracker3d
  • MicroMos, for building a panorama, starting from a set of overlapping images. www.filippopiccinini.it/Mosaicing/index.html
  • ReViMS, for cancer spheroids Reconstruction and Visualization using Multiple Sections. http://sourceforge.net/p/revims
  • ReViSP, for cancer spheroids Reconstruction and Visualization using a Single Projection. http://sourceforge.net/p/revisp
  • 3D-Cell-Annotator, MITK plugin for segmenting single cells in 3D datasets. www.3d-cell-annotator.org