组织绘图：通过降维压缩生物图像数据。
Tissue cartography: compressing bio-image data by dimensional reduction.
作者信息
Heemskerk Idse, Streichan Sebastian J
机构信息
Kavli Institute for Theoretical Physics, University of California, Santa Barbara, California, USA.
出版信息
Nat Methods. 2015 Dec;12(12):1139-42. doi: 10.1038/nmeth.3648. Epub 2015 Nov 2.
Abstract
The high volumes of data produced by state-of-the-art optical microscopes encumber research. We developed a method that reduces data size and processing time by orders of magnitude while disentangling signal by taking advantage of the laminar structure of many biological specimens. Our Image Surface Analysis Environment automatically constructs an atlas of 2D images for arbitrarily shaped, dynamic and possibly multilayered surfaces of interest. Built-in correction for cartographic distortion ensures that no information on the surface is lost, making the method suitable for quantitative analysis. We applied our approach to 4D imaging of a range of samples, including a Drosophila melanogaster embryo and a Danio rerio beating heart.
摘要
先进的光学显微镜产生的大量数据给研究带来了阻碍。我们开发了一种方法，该方法通过利用许多生物标本的层状结构来减少数据量和处理时间，同时解开信号。我们的图像表面分析环境会自动为感兴趣的任意形状、动态且可能是多层的表面构建二维图像图谱。内置的地图投影变形校正可确保表面信息不会丢失，这使得该方法适用于定量分析。我们将我们的方法应用于一系列样本的四维成像，包括黑腹果蝇胚胎和斑马鱼跳动的心脏。
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