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模拟 velvet worm 的视觉世界。

Modelling the visual world of a velvet worm.

机构信息

Lund Vision Group, Department of Biology, Lund University, Lund, Sweden.

出版信息

PLoS Comput Biol. 2021 Jul 28;17(7):e1008808. doi: 10.1371/journal.pcbi.1008808. eCollection 2021 Jul.

Abstract

In many animal phyla, eyes are small and provide only low-resolution vision for general orientation in the environment. Because these primitive eyes rarely have a defined image plane, traditional visual-optics principles cannot be applied. To assess the functional capacity of such eyes we have developed modelling principles based on ray tracing in 3D reconstructions of eye morphology, where refraction on the way to the photoreceptors and absorption in the photopigment are calculated incrementally for ray bundles from all angles within the visual field. From the ray tracing, we calculate the complete angular acceptance function of each photoreceptor in the eye, revealing the visual acuity for all parts of the visual field. We then use this information to generate visual filters that can be applied to high resolution images or videos to convert them to accurate representations of the spatial information seen by the animal. The method is here applied to the 0.1 mm eyes of the velvet worm Euperipatoides rowelli (Onychophora). These eyes of these terrestrial invertebrates consist of a curved cornea covering an irregular but optically homogeneous lens directly joining a retina packed with photoreceptive rhabdoms. 3D reconstruction from histological sections revealed an asymmetric eye, where the retina is deeper in the forward-pointing direction. The calculated visual acuity also reveals performance differences across the visual field, with a maximum acuity of about 0.11 cycles/deg in the forward direction despite laterally pointing eyes. The results agree with previous behavioural measurements of visual acuity, and suggest that velvet worm vision is adequate for orientation and positioning within the habitat.

摘要

在许多动物门中,眼睛很小,只能提供环境中大致方向的低分辨率视觉。由于这些原始眼睛很少有明确的成像平面,因此无法应用传统的视觉光学原理。为了评估这些眼睛的功能能力,我们开发了基于 3D 眼形态重建中的光线追踪的建模原理,其中在到达光感受器的过程中的折射和光色素中的吸收对于来自视野内所有角度的光线束进行了逐步计算。从光线追踪中,我们计算了眼睛中每个光感受器的完整角度接受函数,揭示了视野中所有部分的视力锐度。然后,我们使用此信息生成视觉滤波器,可以将其应用于高分辨率图像或视频,以将其转换为动物看到的空间信息的准确表示。该方法现应用于地栖环节动物(Onychophora)的 velvet worm Euperipatoides rowelli 的 0.1 毫米眼睛。这些陆地无脊椎动物的眼睛由弯曲的角膜覆盖,角膜覆盖着一个不规则但光学均匀的透镜,直接连接着布满光感受器的视杆。来自组织学切片的 3D 重建显示出一个不对称的眼睛,视网膜在向前指向的方向更深。计算出的视力锐度也揭示了视野中的性能差异,尽管眼睛侧向指向,但向前方向的最大视力锐度约为 0.11 个周期/度。结果与视觉锐度的先前行为测量结果一致,并表明 velvet worm 的视觉足以适应栖息地内的定向和定位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e54/8363015/1b1cb8c8eea9/pcbi.1008808.g001.jpg

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