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10.1016/j.ceca.2014.06.003

http://scihub22266oqcxt.onion/10.1016/j.ceca.2014.06.003
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suck abstract from ncbi


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pmid25047761
      Cell+Calcium 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.
  • |*Algorithms [MESH]
  • |Automation [MESH]
  • |Calcium Signaling/*physiology [MESH]
  • |Calcium/*metabolism [MESH]
  • |Fluorescence [MESH]
  • |Humans [MESH]
  • |Microscopy, Fluorescence/instrumentation/*methods [MESH]
  • |Neuroblastoma/*metabolism/pathology [MESH]


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