活体眼视网膜活动成像。

IF 5 2区 医学 Q1 NEUROSCIENCES
Jennifer J Hunter, William H Merigan, Jesse B Schallek
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引用次数: 0

摘要

长期以来,人们一直用心理物理学方法研究人类的视网膜功能,而由于生理方法的侵入性,对视觉的详细功能研究大多在动物身上进行。这种概括也有例外,例如视网膜电图。这篇综述探讨了使用体内视网膜成像来理解视网膜神经元功能的令人兴奋的最新进展。在某些情况下,这些方法已经存在多年,并且仍在优化中。在其他方面,光生理学等新方法正在动物模型中揭示视网膜功能的新模式,这些模式有可能改变我们对视网膜功能能力的理解。总之,视网膜成像的进步标志着一个重要的里程碑,它将注意力从解剖学上转移开,开始探索健康和患病眼睛的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Imaging Retinal Activity in the Living Eye.

Retinal function has long been studied with psychophysical methods in humans, whereas detailed functional studies of vision have been conducted mostly in animals owing to the invasive nature of physiological approaches. There are exceptions to this generalization, for example, the electroretinogram. This review examines exciting recent advances using in vivo retinal imaging to understand the function of retinal neurons. In some cases, the methods have existed for years and are still being optimized. In others, new methods such as optophysiology are revealing novel patterns of retinal function in animal models that have the potential to change our understanding of the functional capacity of the retina. Together, the advances in retinal imaging mark an important milestone that shifts attention away from anatomy alone and begins to probe the function of healthy and diseased eyes.

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来源期刊
Annual Review of Vision Science
Annual Review of Vision Science Medicine-Ophthalmology
CiteScore
11.10
自引率
1.70%
发文量
19
期刊介绍: The Annual Review of Vision Science reviews progress in the visual sciences, a cross-cutting set of disciplines which intersect psychology, neuroscience, computer science, cell biology and genetics, and clinical medicine. The journal covers a broad range of topics and techniques, including optics, retina, central visual processing, visual perception, eye movements, visual development, vision models, computer vision, and the mechanisms of visual disease, dysfunction, and sight restoration. The study of vision is central to progress in many areas of science, and this new journal will explore and expose the connections that link it to biology, behavior, computation, engineering, and medicine.
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