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Method Article

Automated Analysis of Dynamic Ca2+ Signals in Image Sequences

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DOI:

10.3791/51560

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June 16th, 2014

In This Article

Summary

Here a novel region of interest analysis protocol based on sorting best-fit ellipses assigned to regions of positive signal within two-dimensional time lapse image sequences is demonstrated. This algorithm may enable investigators to comprehensively analyze physiological Ca2+ signals with minimal user input and bias.

Abstract

Intracellular Ca2+ signals are commonly studied with fluorescent Ca2+ indicator dyes and microscopy techniques. However, quantitative analysis of Ca2+ imaging data is time consuming and subject to bias. Automated signal analysis algorithms based on region of interest (ROI) detection have been implemented for one-dimensional line scan measurements, but there is no current algorithm which integrates optimized identification and analysis of ROIs in two-dimensional image sequences. Here an algorithm for rapid acquisition and analysis of ROIs in image sequences is described. It utilizes ellipses fit to noise filtered signals in order to determine optimal ROI placement, and computes Ca2+ signal parameters of amplitude, duration and spatial spread. This algorithm was implemented as a freely available plugin for ImageJ (NIH) software. Together with analysis scripts written for the open source statistical processing software R, this approach provides a high-capacity pipeline for performing quick statistical analysis of experimental output. The authors suggest that use of this analysis protocol will lead to a more complete and unbiased characterization of physiologic Ca2+ signaling.

Introduction

Ca2+ is a ubiquitous second messenger signaling molecule and cytosolic Ca2+ levels are highly regulated. Intracellular Ca2+ signals are complex and include isolated transients, oscillations, and propagating waves1-4. Spatial and temporal control of Ca2+ is thought to underlie physiological signal specificity, and therefore the analysis of Ca2+ signal patterns is of considerable interest to investigators in multiple fields5.

Ca2+ indicator dyes such as Fluo-4 and Fura-2 are commonly employed to measure intracellular Ca2+ signals with....

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Protocol

1. Vessel Dissection and Imaging

  1. Harvest tissue from domestic juvenile pigs as described in Martens et al27. Place harvested swine right ventricles into a polydimethylsiloxane (PDMS) bottom dissection dish containing HEPES buffered physiological saline solution (PSS).
    1. With the aid of a stereomicroscope, dissect and remove a segment of the left anterior descending coronary artery (~8 mm length, 0.5 mm diameter) from surrounding tissue using forceps and spring scissors by removing the vessel segment from the surrounding cardiac tissue layers. NOTE: Take care to not puncture the vessel wall.
    2. Place a PDMS block (1 x 0....

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Results

A custom algorithm, LC_Pro, was developed and implemented in order to perform automated analysis of Ca2+ dynamics on confocal image sequences. As depicted in Figure 1, the algorithm utilizes sequential processing modules that A) detect and track sites of dynamic Ca2+ change above statistical (p < 0.01) noise, B) define regions of interest (ROI) automatically at active site centers, and C) calculate average fluorescence intensities at ROIs to determine specific event parameters. A.......

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Discussion

Decoding complex Ca2+ signals at the cellular and multicellular level will require rigorous experimental and analytical approaches. Here, an approach is described in which time resolved confocal image sequences of Ca2+ dependent fluorescence are subjected to an automated analysis that identifies and quantifies statistically relevant Ca2+ signals within intact cellular fields In the specific case presented, an artery segment was isolated from pig heart, pinned opened to expose the endothel.......

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Disclosures

The authors have nothing to disclose.

Acknowledgements

This work was supported in part by National Institutes of Health Grants HL-085887, HL-092992, S10RR027535, and MOP-93676.

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
Dissection dishFisher Sci#08-772-70
Polydimethylsiloxane (PDMS)Fisher Sci#NC9644388elastomer kit, must be molded into dishes
HEPES-buffered PSSSigma#H3375-250GHEPES acid
StereomicroscopeNikon Inst.#MNA42000
ForcepsFine Science Tools#11223-20
Spring scissorsFine Science Tools15003-08
Tungsten wireScientific Inst Svcs#406
Fluo-4 AMLife Tech.#F-14201
Pluronic F-127Life Tech.#P3000MP
Metal pinsFine Science Tools#26002-10
Cover-glass bottom chamberCustom designed
Spinning disc confocal microscopePerkin ElmerRS-3
ImageJ softwaredownload at: http://rsbweb.nih.gov/ij/download.html
LC_Pro plugin for imageJdownload at: http://rsbweb.nih.gov/ij/plugins/lc-pro/index.html
R softwaredownload at: http://www.r-project.org/
R traceplot scriptdownload at: https://docs.google.com/file/d/0B-PSp1D9e2fjV3NIcGppUzkxdEk/edit?usp=sharing

References

  1. Berridge, M. J. Inositol trisphosphate and calcium signalling. Nature. 361 (6410), 315-325 (1993).
  2. Berridge, M. J., et al. The versatility and universality of calcium signalling. Nat Rev Mol Cell Biol. 1 (1), 11-21 (2000).
  3. Delisle, S.

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Tags

Calcium ImagingAutomated ROI AnalysisImageJ PluginR Statistical AnalysisEndothelial Calcium ActivityConfocal MicroscopySubstance P StimulationFluorescent Calcium SignalsTime-Lapse ImagingSignal Parameter Analysis