Neural Imaging and Sensing are widely utilized in neuroscience research. The entire technical chain usually includes labeling, imaging, and image processing. Novel techniques are developed in rapid succession, and new applications follows.
This presentation will focus on a bibliometrics study related to the three directions of the emerging neural imaging and sensing techniques. Based on Web of Science and Scopus, the hot topics are easily selected. We will highlight several typical techniques emerged in recent years, and discuss their advantages and specialized applications.
Among those emerging techniques, a new crossdisciplinary field, brainsmatics, is growing up. Brainsmatics is the shorten term of Brain Spatial Informatics, which develops methods and tools for understanding brain based on brain spatial information. In neuroscience, scientific questions are focused and answered mainly in molecular, cellular, genetic, and electrophysiological levels, respectively. A full understanding of the brain calls for the integration of brain information in all levels. To combine all these different level data, the spatial information is the key reference. High resolution and precision positioning are two challenges in brainsmatics, while the image standard and brain-wide coordinate system definition are also important.
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