生物成像:信号处理研究的新前沿领域

J. Olivo-Marin
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引用次数: 0

摘要

深入了解生物系统需要对其时空特征进行稳健和系统的量化,这是目前的共识。在过去的几十年里,由于荧光探针、标记技术和显微镜系统的众多进步,这一努力得到了显著的启发。同样,在生物学和生物医学中,需要更强大和更具体的信号/图像处理方法来处理大量和各种各样的信号,这也是一个共识。在这里,我们给出了一些最先进的图像处理方法的全景,也指出了信号处理的挑战,并概述了未来研究的主题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioimaging: A new frontier area for signal processing research
It is now a common consensus that in-depth understanding of biological systems requires robust and systematic quantification of their spatiotemporal characteristics. This endeavour has been significantly enlightened over the past decades thanks to the numerous advances in fluorescent probes, labeling techniques and microscopy systems. It is likewise a consensus that more powerful and specific signal/image processing methods are henceforth required to process the large amounts and variety of signals in biology and biomedicine. Here we give a panorama of some state-of-the-art image processing methods and also point at signal processing challenges and outline topics for future research.
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