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FIM$^{2c}$:用于操纵和分析动物行为的多色多功能成像系统。

FIM$^{2c\;}$: Multicolor, Multipurpose Imaging System to Manipulate and Analyze Animal Behavior.

作者信息

Risse Benjamin, Otto Nils, Berh Dimitri, Kiel Matthias, Klambt Christian

出版信息

IEEE Trans Biomed Eng. 2017 Mar;64(3):610-620. doi: 10.1109/TBME.2016.2570598. Epub 2016 May 18.

DOI:10.1109/TBME.2016.2570598
PMID:28113210
Abstract

In vivo whole-body imaging of small animals plays an important role for biomedical studies. In particular, animals like the fruit fly Drosophila melanogaster or the nematode Caenorhabditis elegans are popular model organisms for preclinical research since they offer sophisticated genetic tool-kits. Recording these translucent animals with high contrast in a large arena is however not trivial. Furthermore, fluorescent proteins are widely used to mark cells in vivo and report their functions. This paper introduces a novel optical imaging technique called FIM enabling simultaneous detection of the animals posture and movement as well as fluorescent markers like green fluorescent protein (GFP). FIM utilizes frustrated total internal reflection of two distinct wavelengths and captures both, reflected and emitted light. The resultant two-color high-contrast images are superb compared to other imaging systems for larvae or worms. This multipurpose method enables a large variety of different experimental approaches. For example, FIM can be used to image GFP positive cells/tissues/animals and supports the integration of fluorescent tracers into multitarget tracking paradigms. Moreover, optogenetic tools can be applied in large-scale behavioral analysis to manipulate and study neuronal functions. To demonstrate the benefit of our system, we use FIM to resolve colliding larvae in a high-throughput approach, which was impossible given the existing tools. Finally, we present a comprehensive database including images and locomotion features of more than 1300 resolved collisions available for the community. In conclusion, FIM is a versatile tool for advanced imaging and locomotion analysis for a variety of different model organisms.

摘要

小动物的体内全身成像在生物医学研究中发挥着重要作用。特别是,果蝇或秀丽隐杆线虫等动物是临床前研究中常用的模式生物,因为它们提供了完善的基因工具包。然而,在大视野中以高对比度记录这些半透明动物并非易事。此外,荧光蛋白被广泛用于体内标记细胞并报告其功能。本文介绍了一种名为FIM的新型光学成像技术,它能够同时检测动物的姿势和运动以及绿色荧光蛋白(GFP)等荧光标记物。FIM利用两种不同波长的受抑全内反射,捕获反射光和发射光。与其他用于幼虫或蠕虫的成像系统相比,所得的双色高对比度图像非常出色。这种多功能方法能够实现多种不同的实验方法。例如,FIM可用于对GFP阳性细胞/组织/动物进行成像,并支持将荧光示踪剂整合到多目标跟踪范式中。此外,光遗传学工具可应用于大规模行为分析,以操纵和研究神经元功能。为了证明我们系统的优势,我们使用FIM以高通量方法解析碰撞的幼虫,而这在现有工具下是不可能实现的。最后,我们提供了一个综合数据库,其中包括1300多次解析碰撞的图像和运动特征,供同行使用。总之,FIM是一种适用于多种不同模式生物的先进成像和运动分析的通用工具。

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IEEE Trans Biomed Eng. 2017 Mar;64(3):610-620. doi: 10.1109/TBME.2016.2570598. Epub 2016 May 18.
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引用本文的文献

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High-resolution analysis of individual larvae uncovers individual variability in locomotion and its neurogenetic modulation.高分辨率分析个体幼虫揭示了运动的个体变异性及其神经遗传调制。
Open Biol. 2023 Apr;13(4):220308. doi: 10.1098/rsob.220308. Epub 2023 Apr 19.
2
Muscle Function Assessment Using a Larvae Crawling Assay.使用幼虫爬行试验进行肌肉功能评估。
Bio Protoc. 2018 Jul 20;8(14):e2933. doi: 10.21769/BioProtoc.2933.
3
FIMTrack: An open source tracking and locomotion analysis software for small animals.FIMTrack:一款用于小动物的开源跟踪与运动分析软件。
PLoS Comput Biol. 2017 May 11;13(5):e1005530. doi: 10.1371/journal.pcbi.1005530. eCollection 2017 May.