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Biolmage Computation

机译:生物计算计算

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摘要

Biolmage Computing (BIC) is a rapidly growing field at the interface of computer vision and the life sciences. Advanced light microscopy can deliver 2D and 3D image sequences of living cells with unprecedented image quality and ever increasing resolution in space and time. The emergence of novel and diverse microscopy modalities has provided biologists with unprecedented means to explore cellular mechanisms, embryogenesis, or neural development, to mention only a few areas of research. Electron microscopy provides information on the cellular structure at nanometer resolution. Here, correlating light microscopy and electron microscopy at the subcellular level, and relating both to animal behavior at the macroscopic level, is of paramount importance. The enormous size and complexity of these data sets, which can exceed multiple TB per volume or video, requires not just accurate, but also efficient computer vision methods.
机译:Biolmage Computing(BIC)是计算机视觉和生命科学的界面处快速生长的场景。 先进的光学显微镜可以通过前所未有的图像质量提供2D和3D图像序列,并在空间和时间内增加分辨率。 新型和多种显微镜样式的出现提供了生物学家,具有前所未有的手段,用于探讨细胞机制,胚胎发生或神经发育,仅提到几个研究领域。 电子显微镜提供有关纳米分辨率的蜂窝结构的信息。 这里,在亚细胞水平处相关的光学显微镜和电子显微镜,并与宏观水平的动物行为相关,这是至关重要的。 这些数据集的巨大尺寸和复杂性,可以超过每卷或视频的多个TB,不仅仅是准确,而且需要高效的计算机视觉方法。

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