...
首页> 外文期刊>Biophysical Journal >Automatic Detection and Classification of Ca2+ Release Events in Line- and Frame-Scan Images
【24h】

Automatic Detection and Classification of Ca2+ Release Events in Line- and Frame-Scan Images

机译:在线和帧扫描图像中的CA2 +释放事件的自动检测和分类

获取原文
获取原文并翻译 | 示例

摘要

Analysis of Ca2+ signals obtained in various cell types (i.e., cardiomyocytes) is always a tradeoff between acquisition speed and signal/noise ratio of the fluorescence signal. This becomes especially apparent during fast two- or three-dimensional confocal imaging when local intracellular fluorescence signals originating from Ca2+ release from intracellular Ca2+ stores (e.g., sarcoplasmic reticulum) need to be examined. Mathematical methods have been developed to remedy a high noise level by fitting each pixel with a transient function to "denoise" the image. So far, current available analytical approaches have been impaired by a number of constraints (e.g., inability to fit local, concurrent, and consecutive events) and the limited ability to customize implementation. Here, we suggest a, to our knowledge, novel approach for detailed analysis of subcellular micro Ca2+ events based on pixel-by-pixel denoising of confocal frame- and line-scan images. The algorithm enables spatiotemporally overlapping events (e.g., a Ca2+ spark occurring during the decaying phase of a Ca2+ wave) to be extracted so that various types of Ca2+ events can be detected at a pixel time level of precision. The method allows a nonconstant baseline to be estimated for each pixel, foregoing the need to subtract fluorescence background or apply self-ratio methods before image analysis. Furthermore, by using a clustering algorithm, identified single-pixel events are grouped into "physiologically relevant" Ca2+ signaling events spanning multiple pixels (sparks, waves, puffs, transients, etc.), from which spatiotemporal event parameters (e.g., full duration at half maximal amplitude, full width at half maximal amplitude, amplitude, wave speed, rise, and decay times) can be easily extracted. The method was implemented with cross-platform open source software, providing a comprehensive and easy-to-use graphical user interface enabling rapid line-scan images and rapid frame-scan image sequences (up to 150 frames/s) to be analyzed and repetitive Ca2+ events (Ca2+ sparks and Ca2+ puffs) originating from clusters of Ca2+ release channels located in the sarcoplasmic reticulum membrane (ryanodine receptors and inositol 1,4,5-trisphosphate receptors) of isolated cardiomyocytes to be examined with a high level of precision.
机译:分析各种细胞类型(即心肌细胞)中获得的CA2 +信号始终是荧光信号的采集速度和信号/噪声比之间的权衡。当需要检查源自Ca2 +释放的局部细胞内荧光信号时,这在快速两维共焦成像期间变得特别明显。已经开发了数学方法以通过将每个像素拟合到“去噪”图像来施加高噪声水平来弥补高噪声水平。到目前为止,目前的可用分析方法已经受到许多约束(例如,无法适应本地,并发和连续事件)以及定制实施的有限能力。在这里,我们提出了一种基于共聚焦帧和线扫描图像的逐像素去噪的亚细胞微CA2 +事件的新方法。该算法使得现时重叠的事件(例如,在CA2 +波的衰变期间发生的CA2 +火花)以提取,以便可以在精度的像素时间水平处检测各种类型的CA2 +事件。该方法允许为每个像素估计不透视的基线,以在图像分析之前需要减去荧光背景或应用自比例的需要。此外,通过使用聚类算法,所识别的单像素事件被分组为跨越多个像素(火花,波,泡沫,瞬态等)的“生理学上相关的”CA2 +信令事件,从那时刻期开始(例如,全持续时间可以容易地提取半最大幅度,半最大幅度,幅度,波速,上升和衰减时间的全宽。该方法是用跨平台开源软件实现的,提供全面且易于使用的图形用户界面,可实现快速的线路扫描图像和快速帧扫描图像序列(最多150帧/秒)进行分析和重复CA2 +事件(CA2 +火花和CA2 +泡沫)来自位于孤立的心肌细胞的肉质瘤膜(ryanodine受体和肌醇1,4,5-三磷酸盐受体中的CA2 +释放通道簇的簇,以进行高水平的精度检查。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号