Biochemical (or phosotphysical) resolving power in fluorescence microscopy

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Alessandro Esposito Alessandro Esposito
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Biochemical (or phosotphysical) resolving power in fluorescence microscopy

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Dear all,
    I usually do not send my own publications to the list but I will be doing the
first of two exceptions (hoping to not bother too many people).


<a href="http://www.plosone.org/article/info%3Adoi%2F10.1371%">http://www.plosone.org/article/info%3Adoi%2F10.1371%
2Fjournal.pone.0077392


We got published a theoretical work in which I try to define the "biochemical
resolving power" in fluorescence microscopy. My interest in this is because I
use fluorescence techniques to describe the biochemical environment of cells.
For others, this can read as "photophysical resolving power".

Through the description of the general properties of Fisher information in
fluorescence detection I tried to define the theretical limits (determined by
photon statistics) in biochemical resolution and to identify detection schemes
for its optimization.

My main interest is what I present as the "photon partitioning theorem". We
added the rest to make perhaps more interesting for others as suggested by
referees, but to tell the truth, I was interested in the theoretical aspects I
describe.

Now, at this time I thought to send the link on the list to foster a bit of
discussion on this topic. I believe who of you is interested in theoretical
aspects of spatial resolution may (I repeat may) find it interesting as well,
togheter with whom worked on this topic for FLIM or other techniques.

Others, may find it either trivial or simply not useful.

Personally, I had a bit of fun after a few years studying Fisher information
theory for specific techniques (FLIM or FAIM) I found very intriguing just to
focus onto the general proeprties of Fisher information in fluorescence
detection.

This may be (well, MAY BE!) my last theoretical work on photon statistics (for
the piece of mind of some of you) for a long time while I will be focusing more
and more on biology.

Feel free to comment and critisize!

Cheers,

Alessandro