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

Content Provider	IEEE Xplore Digital Library
Author	Esposti, F. Ripamonti, M. Signorini, M.G.
Copyright Year	2009
Description	Author affiliation: Università Vita e Salute San Raffaele, Milano, Italy (Ripamonti, M.) \|\| Politecnico di Milano, Dipartimento di Bioingegneria, Milano, Italy (Esposti, F.; Signorini, M.G.)
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 ΔF/F0 movie onto the maximum intensity matrix. This is done by creating a RGB movie and by assigning to the normalized (ΔF/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.
Starting Page	3589
Ending Page	3592
File Size	776005
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5333575
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic resonance Calcium Fluorescence Optical noise Motion pictures Brightness 1f noise Histograms Optical imaging Signal processing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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