Literature DB >> 26789654

Whole-brain imaging reaches new heights (and lengths).

Alexandre Albanese1, Kwanghun Chung2,3,4.   

Abstract

Advances in microscopy and sample preparation have led to the first ever mapping of individual neurons in the whole mouse brain.

Entities:  

Keywords:  Axonal reconstruction; Neuroanatomy; Neuroimaging; Neuroinformatics; Tissue clearing; Whole-brain imaging; mouse; neuroscience

Mesh:

Year:  2016        PMID: 26789654      PMCID: PMC4744199          DOI: 10.7554/eLife.13367

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


Related research article Economo MN, Clack NC, Lavis LD, Gerfen CR, Svoboda K, Myers G, Chandrashekar J. 2016. A platform for brain-wide imaging and reconstruction of individual neurons. eLife 5:e10566.doi: 10.7554/eLife.10566 Image A population of sparsely labeled neurons in a mouse brain For decades, neuroscientists have dreamed of being able to produce a connectome – a map that shows how the neurons in the mammalian brain are connected together. However, individual neurons are rather small, so we need a microscope to see them with enough detail to produce a connectome. But how do you image a whole brain with a microscope? The answer is: you slice it! The first connectome was produced in the 1980s and showed the 302 neurons in C. elegans, a small round worm (White et al., 1986). This feat required sectioning the worm into slices that were just 50 nm (50 x10−9 meters) thick, imaging them using electron microscopy, and then manually aligning thousands of printed micrographs to reconstruct each neuron down to its finest details. Modern versions of this technique have been used to produce connectomes for the mouse retina (Kim et al., 2014) and for small pieces of the mouse cortex (Kasthuri et al., 2015; Bock et al., 2011; Figure 1a).
Figure 1.

Imaging neurons in the brain.

() Electron microscopy can be used to map the neurons in a small volume of brain tissue (typically about 0.015 mm3; top) by recording images of thousands of very thin slices and combining them. This approach can provide a high-resolution connectome of a small volume of tissue (bottom). (b) Fluorescence microscopy can be used to map the connections between the different regions of a brain by recording images of about 150–300 slices separated by about 0.05–0.1 mm (top) and combining them. The resulting projectome can reveal, for example, that region A is connected to region B, but not to region C (bottom). (c) Economo et al. used a combination of tissue clearing, serial sectioning and sparse labeling (by injecting adenovirus at x; top) to track the projections from 10–50 neurons throughout the brain (bottom). This approach allowed projections with diameters that measured as little as 100 nm to be mapped. This technique provides single-neuron mapping throughout the whole brain. Illustrations are not to scale.

Imaging neurons in the brain.

() Electron microscopy can be used to map the neurons in a small volume of brain tissue (typically about 0.015 mm3; top) by recording images of thousands of very thin slices and combining them. This approach can provide a high-resolution connectome of a small volume of tissue (bottom). (b) Fluorescence microscopy can be used to map the connections between the different regions of a brain by recording images of about 150–300 slices separated by about 0.05–0.1 mm (top) and combining them. The resulting projectome can reveal, for example, that region A is connected to region B, but not to region C (bottom). (c) Economo et al. used a combination of tissue clearing, serial sectioning and sparse labeling (by injecting adenovirus at x; top) to track the projections from 10–50 neurons throughout the brain (bottom). This approach allowed projections with diameters that measured as little as 100 nm to be mapped. This technique provides single-neuron mapping throughout the whole brain. Illustrations are not to scale. Electron microscopy is an effective method for visualizing the highly connected networks formed by neurons in relatively small samples, such as a worm or a small piece of tissue, but it is too slow to be used on larger samples. Therefore, in order to produce projectomes – maps that show how the different regions of the mammalian brain are connected to each other – neuroscientists have turned to a form of microscopy called fluorescence microscopy. This technique, which sacrifices resolution in favor of speed, can scan large areas and provides sufficient resolution to map the connections between different regions in large samples of brain tissue. Researchers at the Allen Institute for Brain Science recently used fluorescence microscopy to produce the first brain-wide projectome for the mouse brain (Oh et al., 2014). This involved using automated vibratomes and two-photon microscopes to slice and image brains at intervals of 0.1 mm (Ragan et al., 2012). However, the use of such a large interval meant that it was not possible to track individual neurons (Figure 1b). Now, in eLife, Jayaram Chandrashekar of the Janelia Research Campus and colleagues – including Michael Economo and Nathan Clack as joint first authors – report that they have used fluorescence microscopy to visualize whole neurons in a mouse brain (Economo et al., 2016). To make this breakthrough Economo et al. combined a technique called tissue clearing with automated tissue sectioning and imaging to obtain a three-dimensional image of the entire brain (Figure 1c). Tissue clearing is a sample preparation strategy that renders a biological tissue optically clear by removing lipids and/or introducing a medium that has the same refractive index as the cells. Economo et al. tested a number of emerging tissue clearing techniques – such as CUBIC (Susaki et al., 2015), CLARITY (Chung et al., 2013) and iDISCO (Renier et al., 2014) – but none of them were compatible with tissue sectioning, so they developed a partial tissue clearing protocol that allowed fluorescence from up to 0.25 mm below the surface of the tissue to be detected. Brains were imaged for about 10 days with a custom-built high-speed two-photon microscope, generating 10 TB of data. To track the projections from individual neurons over long distances (and through large numbers of other neurons), Economo et al. used a technique called sparse labeling: this involved injecting a low dose of adenovirus into the brain so that only 10–50 neurons were labeled. The projections from these neurons could then be mapped throughout the brain by recording fluorescence from the adenovirus (to which fluorescent labels had been attached). Manual reconstructions revealed that just five neurons innervated some 28 different regions of the brain and covered distances over 300 mm. The combination of tissue clearing and serial-sectioning has provided the first ever tracking of individual neurons in the whole brain using optical microscopy. However, this achievement comes with some problems that are familiar when we try to balance speed and high resolution. Continuous whole-brain imaging enables a 10-fold increase in imaging resolution, but takes 10-times longer than the serial imaging studies with intervals of 0.1 mm performed at the Allen Institute. This limits the experimental throughput, the statistical power of observations, and potential applications. And since Economo et al. were only able to image a sparse distribution of fluorescent neurons, producing a whole-brain projectome at single-cell resolution is still out of reach at this point. Future studies will need to build on this progress made by Economo et al., and may require the development of new technologies that do not require sparse labeling in order to accurately and simultaneously reconstruct many neurons within a single brain. Nevertheless, by bringing neuroscientists closer to the possibility of creating full-resolution projectome maps of the brain, this work represents an important milestone in our understanding of the brain.
  10 in total

1.  The structure of the nervous system of the nematode Caenorhabditis elegans.

Authors:  J G White; E Southgate; J N Thomson; S Brenner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1986-11-12       Impact factor: 6.237

2.  Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging.

Authors:  Etsuo A Susaki; Kazuki Tainaka; Dimitri Perrin; Hiroko Yukinaga; Akihiro Kuno; Hiroki R Ueda
Journal:  Nat Protoc       Date:  2015-10-08       Impact factor: 13.491

3.  Saturated Reconstruction of a Volume of Neocortex.

Authors:  Narayanan Kasthuri; Kenneth Jeffrey Hayworth; Daniel Raimund Berger; Richard Lee Schalek; José Angel Conchello; Seymour Knowles-Barley; Dongil Lee; Amelio Vázquez-Reina; Verena Kaynig; Thouis Raymond Jones; Mike Roberts; Josh Lyskowski Morgan; Juan Carlos Tapia; H Sebastian Seung; William Gray Roncal; Joshua Tzvi Vogelstein; Randal Burns; Daniel Lewis Sussman; Carey Eldin Priebe; Hanspeter Pfister; Jeff William Lichtman
Journal:  Cell       Date:  2015-07-30       Impact factor: 41.582

4.  iDISCO: a simple, rapid method to immunolabel large tissue samples for volume imaging.

Authors:  Nicolas Renier; Zhuhao Wu; David J Simon; Jing Yang; Pablo Ariel; Marc Tessier-Lavigne
Journal:  Cell       Date:  2014-10-30       Impact factor: 41.582

5.  A mesoscale connectome of the mouse brain.

Authors:  Seung Wook Oh; Julie A Harris; Lydia Ng; Brent Winslow; Nicholas Cain; Stefan Mihalas; Quanxin Wang; Chris Lau; Leonard Kuan; Alex M Henry; Marty T Mortrud; Benjamin Ouellette; Thuc Nghi Nguyen; Staci A Sorensen; Clifford R Slaughterbeck; Wayne Wakeman; Yang Li; David Feng; Anh Ho; Eric Nicholas; Karla E Hirokawa; Phillip Bohn; Kevin M Joines; Hanchuan Peng; Michael J Hawrylycz; John W Phillips; John G Hohmann; Paul Wohnoutka; Charles R Gerfen; Christof Koch; Amy Bernard; Chinh Dang; Allan R Jones; Hongkui Zeng
Journal:  Nature       Date:  2014-04-02       Impact factor: 49.962

6.  Network anatomy and in vivo physiology of visual cortical neurons.

Authors:  Davi D Bock; Wei-Chung Allen Lee; Aaron M Kerlin; Mark L Andermann; Greg Hood; Arthur W Wetzel; Sergey Yurgenson; Edward R Soucy; Hyon Suk Kim; R Clay Reid
Journal:  Nature       Date:  2011-03-10       Impact factor: 49.962

7.  Space-time wiring specificity supports direction selectivity in the retina.

Authors:  Jinseop S Kim; Matthew J Greene; Aleksandar Zlateski; Kisuk Lee; Mark Richardson; Srinivas C Turaga; Michael Purcaro; Matthew Balkam; Amy Robinson; Bardia F Behabadi; Michael Campos; Winfried Denk; H Sebastian Seung
Journal:  Nature       Date:  2014-05-04       Impact factor: 49.962

8.  Structural and molecular interrogation of intact biological systems.

Authors:  Kwanghun Chung; Jenelle Wallace; Sung-Yon Kim; Sandhiya Kalyanasundaram; Aaron S Andalman; Thomas J Davidson; Julie J Mirzabekov; Kelly A Zalocusky; Joanna Mattis; Aleksandra K Denisin; Sally Pak; Hannah Bernstein; Charu Ramakrishnan; Logan Grosenick; Viviana Gradinaru; Karl Deisseroth
Journal:  Nature       Date:  2013-04-10       Impact factor: 49.962

9.  Serial two-photon tomography for automated ex vivo mouse brain imaging.

Authors:  Timothy Ragan; Lolahon R Kadiri; Kannan Umadevi Venkataraju; Karsten Bahlmann; Jason Sutin; Julian Taranda; Ignacio Arganda-Carreras; Yongsoo Kim; H Sebastian Seung; Pavel Osten
Journal:  Nat Methods       Date:  2012-01-15       Impact factor: 28.547

10.  A platform for brain-wide imaging and reconstruction of individual neurons.

Authors:  Michael N Economo; Nathan G Clack; Luke D Lavis; Charles R Gerfen; Karel Svoboda; Eugene W Myers; Jayaram Chandrashekar
Journal:  Elife       Date:  2016-01-20       Impact factor: 8.140

  10 in total
  6 in total

1.  Mapping brain-wide excitatory projectome of primate prefrontal cortex at submicron resolution and comparison with diffusion tractography.

Authors:  Mingchao Yan; Wenwen Yu; Qian Lv; Qiming Lv; Tingting Bo; Xiaoyu Chen; Yilin Liu; Yafeng Zhan; Shengyao Yan; Xiangyu Shen; Baofeng Yang; Qiming Hu; Jiangli Yu; Zilong Qiu; Yuanjing Feng; Xiao-Yong Zhang; He Wang; Fuqiang Xu; Zheng Wang
Journal:  Elife       Date:  2022-05-20       Impact factor: 8.140

2.  High-throughput mapping of a whole rhesus monkey brain at micrometer resolution.

Authors:  Fang Xu; Yan Shen; Lufeng Ding; Chao-Yu Yang; Heng Tan; Hao Wang; Qingyuan Zhu; Rui Xu; Fengyi Wu; Yanyang Xiao; Cheng Xu; Qianwei Li; Peng Su; Li I Zhang; Hong-Wei Dong; Robert Desimone; Fuqiang Xu; Xintian Hu; Pak-Ming Lau; Guo-Qiang Bi
Journal:  Nat Biotechnol       Date:  2021-07-26       Impact factor: 68.164

3.  Anatomically revealed morphological patterns of pyramidal neurons in layer 5 of the motor cortex.

Authors:  Siqi Jiang; Yue Guan; Shangbin Chen; Xueyan Jia; Hong Ni; Yalun Zhang; Yutong Han; Xue Peng; Can Zhou; Anan Li; Qingming Luo; Hui Gong
Journal:  Sci Rep       Date:  2020-05-13       Impact factor: 4.379

Review 4.  Advances in studying whole mouse brain vasculature using high-resolution 3D light microscopy imaging.

Authors:  Hannah C Bennett; Yongsoo Kim
Journal:  Neurophotonics       Date:  2022-04-05       Impact factor: 4.212

5.  Whole Brain Imaging with Serial Two-Photon Tomography.

Authors:  Stephen P Amato; Feng Pan; Joel Schwartz; Timothy M Ragan
Journal:  Front Neuroanat       Date:  2016-03-22       Impact factor: 3.856

6.  Multiplexed and scalable super-resolution imaging of three-dimensional protein localization in size-adjustable tissues.

Authors:  Taeyun Ku; Justin Swaney; Jeong-Yoon Park; Alexandre Albanese; Evan Murray; Jae Hun Cho; Young-Gyun Park; Vamsi Mangena; Jiapei Chen; Kwanghun Chung
Journal:  Nat Biotechnol       Date:  2016-07-25       Impact factor: 54.908

  6 in total

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