PySilSub: An open-source Python toolbox for implementing the method of silent substitution in vision and nonvisual photoreception research.
PySilSub: An open-source Python toolbox for implementing the method of silent substitution in vision and nonvisual photoreception research.
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DOI：
10.1167/jov.23.7.10
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发表时间：
2023-07-03
影响因子：
1.8
通讯作者：
中科院分区：
文献类型：
--
作者：
正常人类视网膜含有几类光敏细胞——用于弱光视觉的视杆细胞、用于日光视觉的三类视锥细胞，以及表达黑视蛋白以实现非图像形成功能的本质光敏视网膜神经节细胞（ipRGC），包括瞳孔控制、褪黑激素抑制和昼夜节律光诱导。感光器的光谱敏感性显着重叠，这意味着大多数光都会不同程度地刺激所有感光器。沉默替代方法是选择性刺激个体光感受器类别的有力工具，并且在研究和临床环境中得到了广泛应用。无声替代的主要硬件要求是光谱校准的光刺激系统，其原色数量至少与所考虑的光感受器一样多。可以使用各种分析和算法方法找到产生光以选择性刺激感兴趣的光感受器的设备设置。在这里，我们介绍 PySilSub (https://github.com/PySilentSubstitution/pysilsub)，这是一种用于静默替换的新型 Python 包，具有对单个色度观察者模型（包括人类和小鼠观察者）、多原色刺激设备的灵活支持，以及使用线性代数和约束数值优化解决静默替换问题。该工具箱已在 Python 包索引中注册，并包含来自各种多主系统的示例数据集。我们希望 PySilSub 将促进沉默替代在研究和临床环境中的应用。
The normal human retina contains several classes of photosensitive cell—rods for low-light vision, three cone classes for daylight vision, and intrinsically photosensitive retinal ganglion cells (ipRGCs) expressing melanopsin for non-image-forming functions, including pupil control, melatonin suppression, and circadian photoentrainment. The spectral sensitivities of the photoreceptors overlap significantly, which means that most lights will stimulate all photoreceptors to varying degrees. The method of silent substitution is a powerful tool for stimulating individual photoreceptor classes selectively and has found much use in research and clinical settings. The main hardware requirement for silent substitution is a spectrally calibrated light stimulation system with at least as many primaries as there are photoreceptors under consideration. Device settings that will produce lights to selectively stimulate the photoreceptor(s) of interest can be found using a variety of analytic and algorithmic approaches. Here we present PySilSub (https://github.com/PySilentSubstitution/pysilsub), a novel Python package for silent substitution featuring flexible support for individual colorimetric observer models (including human and mouse observers), multiprimary stimulation devices, and solving silent substitution problems with linear algebra and constrained numerical optimization. The toolbox is registered with the Python Package Index and includes example data sets from various multiprimary systems. We hope that PySilSub will facilitate the application of silent substitution in research and clinical settings.
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影响因子：
5.5
作者：
BOWMAKER, JK;DARTNALL, HJA;MOLLON, JD
通讯作者：
MOLLON, JD
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Allen AE;Hazelhoff EM;Martial FP;Cajochen C;Lucas RJ
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影响因子：
56.9
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通讯作者：
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影响因子：
4.6
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通讯作者：
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