Revealing Neural Circuit Topography in Multi-Color

被引:2
|
作者
Reeber, Stacey L. [1 ]
Gebre, Samrawit A. [1 ]
Filatova, Nika [1 ]
Sillitoe, Roy V. [1 ]
机构
[1] Yeshiva Univ, Albert Einstein Coll Med, Dominick P Purpura Dept Neurosci, New York, NY 10033 USA
来源
关键词
Neuroscience; Issue; 57; neuronal projections; topography; circuits; connectivity; fluorescent tracers; mice; SPINOCEREBELLAR PROJECTION; ORGANIZATION; CEREBELLUM; FIBERS; MAP;
D O I
10.3791/3371
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Neural circuits are organized into functional topographic maps. In order to visualize complex circuit architecture we developed an approach to reliably label the global patterning of multiple topographic projections. The cerebellum is an ideal model to study the orderly arrangement of neural circuits. For example, the compartmental organization of spinocerebellar mossy fibers has proven to be an indispensable system for studying mossy fiber patterning. We recently showed that wheat germ agglutinin (WGA) conjugated to Alexa 555 and 488 can be used for tracing spinocerebellar mossy fiber projections in developing and adult mice (Reeber et al. 2011). We found three major properties that make the WGA-Alexa tracers desirable tools for labeling neural projections. First, Alexa fluorophores are intense and their brightness allows for wholemount imaging directly after tracing. Second, WGA-Alexa tracers label the entire trajectory of developing and adult neural projections. Third, WGA-Alexa tracers are rapidly transported in both retrograde and anterograde directions. Here, we describe in detail how to prepare the tracers and other required tools, how to perform the surgery for spinocerebellar tracing and how best to image traced projections in three dimensions. In summary, we provide a step-by-step tracing protocol that will be useful for deciphering the organization and connectivity of functional maps not only in the cerebellum but also in the cortex, brainstem, and spinal cord.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Design and characterization of multi-color sensor circuit
    Assaad, Maher
    Yohannes, Israel
    [J]. IEICE ELECTRONICS EXPRESS, 2011, 8 (24): : 2093 - 2099
  • [2] Multi-color printing
    Desie, G
    Kerdraon, P
    Vadillo, D
    Soucemarianadin, A
    [J]. IS&T'S NIP20: INTERNATIONAL CONFERENCE ON DIGITAL PRINTING TECHNOLOGIES, PROCEEDINGS, 2004, : 820 - 827
  • [3] MULTI-COLOR BALANCE FOR COLOR CONSTANCY
    Akazawa, Teruaki
    Kinoshita, Yuma
    Kiya, Hitoshi
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 1369 - 1373
  • [4] A Neural-Network-Based Color Control Method for Multi-Color LED Systems
    Zhan, Xiaoqing
    Wang, Wenguan
    Chung, Henry
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2019, 34 (08) : 7900 - 7913
  • [5] Multi-color super-resolution microscopy accelerated by a neural network
    Narayanasamy, K. K.
    Rahm, J. V.
    Jang, S.
    Heilemann, M.
    [J]. SINGLE MOLECULE SPECTROSCOPY AND SUPERRESOLUTION IMAGING XVI, 2023, 12386
  • [6] Ensemble Learning Based Multi-Color Space in Convolutional Neural Network
    Tan, Jiajie
    Li, Ning
    [J]. PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC), 2019, : 7924 - 7927
  • [7] Multi-color Forcing in Graphs
    Chassidy Bozeman
    Pamela E. Harris
    Neel Jain
    Ben Young
    Teresa Yu
    [J]. Graphs and Combinatorics, 2020, 36 : 1855 - 1868
  • [8] Color control of the multi-color printing device
    Wang X.-H.
    Xiu X.-J.
    Zhu W.-H.
    Tang H.-J.
    [J]. Journal of Zhejiang University-SCIENCE A, 2006, 7 (7): : 1187 - 1192
  • [9] MULTI-COLOR LAMP INDICATOR
    HASLER, EF
    [J]. MEASUREMENT AND CONTROL, 1972, 5 (03): : 113 - &
  • [10] Multi-color and artistic dithering
    Ostromoukhov, V
    Hersch, RD
    [J]. SIGGRAPH 99 CONFERENCE PROCEEDINGS, 1999, : 425 - +