• DocumentCode
    2394167
  • Title

    Exploiting the multiplicative nature of fluoroscopic image stochastic noise to enhance calcium imaging recording quality

  • Author

    Esposti, Federico ; Ripamonti, Maddalena ; Signorini, Maria G.

  • Author_Institution
    Dipt. di Bioingegneria, Politec. di Milano, Milano, Italy
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    3589
  • Lastpage
    3592
  • Abstract
    One of the main problems that affect fluoroscopic imaging is the difficulty in coupling the recorded activity with the morphological information. The comprehension of fluorescence events in relationship with the internal structure of the cell can be very difficult. At this purpose, we developed a new method able to maximize the fluoroscopic movie quality. The method (maximum intensity enhancement, MIE) works as follow: considering all the frames that compose the fluoroscopic movie, the algorithm extracts, for each pixel of the matrix, the maximal brightness value assumed along all the frames. Such values are collected in a maximum intensity matrix. Then, the method provides the projection of the target molecule oscillations which are present in the DeltaF/F0 movie onto the maximum intensity matrix. This is done by creating a RGB movie and by assigning to the normalized (DeltaF/F0) activity a single channel and by reproducing the maximum intensity matrix on all the frames by using the remaining color channels. The application of such a method to fluoroscopic calcium imaging of astrocyte cultures demonstrated a meaningful enhancement in the possibility to discern the internal and external structure of cells.
  • Keywords
    biomedical optical imaging; calcium; cellular biophysics; image colour analysis; image enhancement; medical image processing; stochastic processes; RGB movie; astrocyte cultures; calcium imaging recording quality; color channel; external cell structure; fluoroscopic image stochastic noise; fluoroscopic movie quality; internal cell structure; maximum intensity enhancement method; maximum intensity matrix; morphological information; single channel activity; target molecule oscillation; Algorithms; Animals; Artificial Intelligence; Astrocytes; Calcium; Calcium Signaling; Cells, Cultured; Computer Graphics; Diagnostic Imaging; Fluoroscopy; Hippocampus; Image Processing, Computer-Assisted; Oscillometry; Rats; Software; Stochastic Processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5333575
  • Filename
    5333575