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2014 ; 56
(3
): 147-56
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An algorithm for automated detection, localization and measurement of local
calcium signals from camera-based imaging
#MMPMID25047761
Ellefsen KL
; Settle B
; Parker I
; Smith IF
Cell Calcium
2014[Sep]; 56
(3
): 147-56
PMID25047761
show ga
Local Ca(2+) transients such as puffs and sparks form the building blocks of
cellular Ca(2+) signaling in numerous cell types. They have traditionally been
studied by linescan confocal microscopy, but advances in TIRF microscopy together
with improved electron-multiplied CCD (EMCCD) cameras now enable rapid (>500
frames s(-1)) imaging of subcellular Ca(2+) signals with high spatial resolution
in two dimensions. This approach yields vastly more information (ca. 1 Gb
min(-1)) than linescan imaging, rendering visual identification and analysis of
local events imaged both laborious and subject to user bias. Here we describe a
routine to rapidly automate identification and analysis of local Ca(2+) events.
This features an intuitive graphical user-interfaces and runs under Matlab and
the open-source Python software. The underlying algorithm features spatial and
temporal noise filtering to reliably detect even small events in the presence of
noisy and fluctuating baselines; localizes sites of Ca(2+) release with sub-pixel
resolution; facilitates user review and editing of data; and outputs
time-sequences of fluorescence ratio signals for identified event sites along
with Excel-compatible tables listing amplitudes and kinetics of events.