Suppr超能文献

FocusStack 和 StimServer:用于双光子钙神经元成像数据的视觉刺激和分析的新的开源 MATLAB 工具链。

FocusStack and StimServer: a new open source MATLAB toolchain for visual stimulation and analysis of two-photon calcium neuronal imaging data.

机构信息

Department of Neurophysiology, Brain Research Institute, University of Zürich Zürich, Switzerland ; Biozentrum, University of Basel Basel, Switzerland.

Department of Neurophysiology, Brain Research Institute, University of Zürich Zürich, Switzerland ; Department of Neurophysiology, Institute of Biology 2, RWTH Aachen University Aachen, Germany.

出版信息

Front Neuroinform. 2015 Jan 20;8:85. doi: 10.3389/fninf.2014.00085. eCollection 2014.

Abstract

Two-photon calcium imaging of neuronal responses is an increasingly accessible technology for probing population responses in cortex at single cell resolution, and with reasonable and improving temporal resolution. However, analysis of two-photon data is usually performed using ad-hoc solutions. To date, no publicly available software exists for straightforward analysis of stimulus-triggered two-photon imaging experiments. In addition, the increasing data rates of two-photon acquisition systems imply increasing cost of computing hardware required for in-memory analysis. Here we present a Matlab toolbox, FocusStack, for simple and efficient analysis of two-photon calcium imaging stacks on consumer-level hardware, with minimal memory footprint. We also present a Matlab toolbox, StimServer, for generation and sequencing of visual stimuli, designed to be triggered over a network link from a two-photon acquisition system. FocusStack is compatible out of the box with several existing two-photon acquisition systems, and is simple to adapt to arbitrary binary file formats. Analysis tools such as stack alignment for movement correction, automated cell detection and peri-stimulus time histograms are already provided, and further tools can be easily incorporated. Both packages are available as publicly-accessible source-code repositories.

摘要

双光子钙成像技术是一种越来越普及的技术,可用于以单细胞分辨率探测皮层中的群体反应,并具有合理且不断提高的时间分辨率。然而,双光子数据的分析通常使用特定的解决方案来进行。迄今为止,尚无用于直接分析刺激触发双光子成像实验的公共可用软件。此外,双光子采集系统的数据率不断提高,意味着用于内存中分析的计算硬件成本也在不断增加。我们在这里介绍了一个 Matlab 工具箱 FocusStack,用于在消费级硬件上对双光子钙成像堆栈进行简单高效的分析,其内存占用最小。我们还介绍了一个 Matlab 工具箱 StimServer,用于生成和排序视觉刺激,旨在通过网络链路从双光子采集系统触发。FocusStack 与几个现有的双光子采集系统兼容,并且可以轻松适应任意二进制文件格式。已经提供了用于运动校正、自动细胞检测和刺激后时间直方图的分析工具,并且可以轻松地合并其他工具。这两个软件包都可以作为公开源代码库获得。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2dc/4299654/9d351c73940a/fninf-08-00085-g0001.jpg

相似文献

3
BOLDSync: a MATLAB-based toolbox for synchronized stimulus presentation in functional MRI.
J Neurosci Methods. 2014 Feb 15;223:123-32. doi: 10.1016/j.jneumeth.2013.12.002. Epub 2013 Dec 15.
5
Cross-species 3D virtual reality toolbox for visual and cognitive experiments.
J Neurosci Methods. 2016 Jun 15;266:84-93. doi: 10.1016/j.jneumeth.2016.03.009. Epub 2016 Mar 22.
6
NeuroSeg: automated cell detection and segmentation for in vivo two-photon Ca imaging data.
Brain Struct Funct. 2018 Jan;223(1):519-533. doi: 10.1007/s00429-017-1545-5. Epub 2017 Nov 9.
7
The masked priming toolbox: an open-source MATLAB toolbox for masked priming researchers.
Behav Res Methods. 2011 Mar;43(1):210-4. doi: 10.3758/s13428-010-0034-z.
9
Rigbox: An Open-Source Toolbox for Probing Neurons and Behavior.
eNeuro. 2020 Jul 9;7(4). doi: 10.1523/ENEURO.0406-19.2020. Print 2020 Jul/Aug.
10
SBEToolbox: A Matlab Toolbox for Biological Network Analysis.
Evol Bioinform Online. 2013 Sep 1;9:355-62. doi: 10.4137/EBO.S12012. eCollection 2013.

引用本文的文献

1
Calcium-permeable AMPA receptors govern PV neuron feature selectivity.
Nature. 2024 Nov;635(8038):398-405. doi: 10.1038/s41586-024-08027-2. Epub 2024 Oct 2.
2
Comprehensive software suite for functional analysis and synaptic input mapping of dendritic spines imaged .
Neurophotonics. 2024 Apr;11(2):024307. doi: 10.1117/1.NPh.11.2.024307. Epub 2024 Apr 16.
3
Stimulus-dependent synaptic plasticity underlies neuronal circuitry refinement in the mouse primary visual cortex.
Cell Rep. 2024 Apr 23;43(4):113966. doi: 10.1016/j.celrep.2024.113966. Epub 2024 Mar 19.
4
Biophysical Modeling of Actin-Mediated Structural Plasticity Reveals Mechanical Adaptation in Dendritic Spines.
eNeuro. 2024 Mar 11;11(3). doi: 10.1523/ENEURO.0497-23.2024. Print 2024 Mar.
5
Optical Interrogation of Neuronal Responses to Genetic, Cell Type-Specific Silencing.
J Neurosci. 2023 Dec 13;43(50):8607-8620. doi: 10.1523/JNEUROSCI.2253-22.2023.
6
Erasable Hippocampal Neural Signatures Predict Memory Discrimination.
bioRxiv. 2024 Dec 19:2023.02.02.526824. doi: 10.1101/2023.02.02.526824.
7
Tilt in Place Microscopy: a Simple, Low-Cost Solution to Image Neural Responses to Body Rotations.
J Neurosci. 2023 Feb 8;43(6):936-948. doi: 10.1523/JNEUROSCI.1736-22.2022. Epub 2022 Dec 14.
8
A neural circuit for wind-guided olfactory navigation.
Nat Commun. 2022 Aug 8;13(1):4613. doi: 10.1038/s41467-022-32247-7.
10
Dynamic causal communication channels between neocortical areas.
Neuron. 2022 Aug 3;110(15):2470-2483.e7. doi: 10.1016/j.neuron.2022.05.011. Epub 2022 Jun 10.

本文引用的文献

1
Inference of neuronal network spike dynamics and topology from calcium imaging data.
Front Neural Circuits. 2013 Dec 24;7:201. doi: 10.3389/fncir.2013.00201. eCollection 2013.
2
Ultrasensitive fluorescent proteins for imaging neuronal activity.
Nature. 2013 Jul 18;499(7458):295-300. doi: 10.1038/nature12354.
4
HelioScan: a software framework for controlling in vivo microscopy setups with high hardware flexibility, functional diversity and extendibility.
J Neurosci Methods. 2013 Apr 30;215(1):38-52. doi: 10.1016/j.jneumeth.2013.02.006. Epub 2013 Feb 14.
5
NIH Image to ImageJ: 25 years of image analysis.
Nat Methods. 2012 Jul;9(7):671-5. doi: 10.1038/nmeth.2089.
6
Distinct functional properties of primary and posteromedial visual area of mouse neocortex.
J Neurosci. 2012 Jul 11;32(28):9716-26. doi: 10.1523/JNEUROSCI.0110-12.2012.
7
Representation of visual scenes by local neuronal populations in layer 2/3 of mouse visual cortex.
Front Neural Circuits. 2011 Dec 12;5:18. doi: 10.3389/fncir.2011.00018. eCollection 2011.
8
Fast nonnegative deconvolution for spike train inference from population calcium imaging.
J Neurophysiol. 2010 Dec;104(6):3691-704. doi: 10.1152/jn.01073.2009. Epub 2010 Jun 16.
9
High-speed in vivo calcium imaging reveals neuronal network activity with near-millisecond precision.
Nat Methods. 2010 May;7(5):399-405. doi: 10.1038/nmeth.1453. Epub 2010 Apr 18.
10
Efficient subpixel image registration algorithms.
Opt Lett. 2008 Jan 15;33(2):156-8. doi: 10.1364/ol.33.000156.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验