Mesoscale microscopy and image analysis tools for understanding the brain

被引:24
|
作者
Tyson, Adam L. [1 ]
Margrie, Troy W. [1 ]
机构
[1] UCL, Sainsbury Wellcome Ctr, 25 Howland St, London W1T 4JG, England
基金
英国惠康基金;
关键词
Neuroscience; whole Brain microscopy; Image registration; Segmentation; Visualisation; GENE-EXPRESSION; 3-DIMENSIONAL VISUALIZATION; AXONAL PROJECTIONS; RESOLUTION; FRAMEWORK; ATLAS; RECONSTRUCTION; CONNECTIVITY; TOMOGRAPHY; ANNOTATION;
D O I
10.1016/j.pbiomolbio.2021.06.013
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Over the last ten years, developments in whole-brain microscopy now allow for high-resolution imaging of intact brains of small animals such as mice. These complex images contain a wealth of information, but many neuroscience laboratories do not have all of the computational knowledge and tools needed to process these data. We review recent open source tools for registration of images to atlases, and the segmentation, visualisation and analysis of brain regions and labelled structures such as neurons. Since the field lacks fully integrated analysis pipelines for all types of whole-brain microscopy analysis, we propose a pathway for tool developers to work together to meet this challenge.
引用
收藏
页码:81 / 93
页数:13
相关论文
共 50 条
  • [21] Content-aware image restoration: pushing the limits of fluorescence microscopy
    Weigert, Martin
    Schmidt, Uwe
    Boothe, Tobias
    Mueller, Andreas
    Dibrov, Alexandr
    Jain, Akanksha
    Wilhelm, Benjamin
    Schmidt, Deborah
    Broaddus, Coleman
    Culley, Sian
    Rocha-Martins, Mauricio
    Segovia-Miranda, Fabian
    Norden, Caren
    Henriques, Ricardo
    Zerial, Marino
    Solimena, Michele
    Rink, Jochen
    Tomancak, Pavel
    Royer, Loic
    Jug, Florian
    Myers, Eugene W.
    NATURE METHODS, 2018, 15 (12) : 1090 - +
  • [22] Superpixels in Brain MR Image Analysis
    Verma, Nishant
    Cowperthwaite, Matthew C.
    Markey, Mia K.
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 1077 - 1080
  • [23] A survey on brain tumor image analysis
    Sailunaz, Kashfia
    Alhajj, Sleiman
    Ozyer, Tansel
    Rokne, Jon
    Alhajj, Reda
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2024, 62 (01) : 1 - 45
  • [24] Designing a Robust Bleeding Detection Method for Brain CT Image Analysis
    Shirgaonkar, Saurabh
    HyunJeong, Dong
    Toan Huynh
    Soo-YeonJi
    2012 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS (BIBMW), 2012,
  • [25] Image scanning microscopy: a vectorial physical optics analysis
    Hung, Shih-te
    Kalisvaart, Dylan
    Smith, Carlas
    OPTICS EXPRESS, 2024, 32 (02) : 1524 - 1539
  • [26] Analysis of Brain Mitochondria Using Serial Block-Face Scanning Electron Microscopy
    Mukherjee, Konark
    Clark, Helen R.
    Chavan, Vrushali
    Benson, Emily K.
    Kidd, Grahame J.
    Srivastava, Sarika
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2016, (113):
  • [27] A Robust Image Registration Interface for Large Volume Brain Atlas
    Ni, Hong
    Tan, Chaozhen
    Feng, Zhao
    Chen, Shangbin
    Zhang, Zoutao
    Li, Wenwei
    Guan, Yue
    Gong, Hui
    Luo, Qingming
    Li, Anan
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [28] Editorial: Image and geometry analysis for brain informatics
    Wang, Yimin
    Zhou, Zhi
    Liu, Min
    FRONTIERS IN NEUROINFORMATICS, 2023, 17
  • [29] Artifact analysis and fast image reconstruction for spinning disk confocal Image Scanning Microscopy
    Qin, Shun
    OPTICS COMMUNICATIONS, 2021, 499
  • [30] Live cell microscopy: From image to insight
    Cuny, Andreas P.
    Schlottmann, Fabian P.
    Ewald, Jennifer C.
    Pelet, Serge
    Schmoller, Kurt M.
    BIOPHYSICS REVIEWS, 2022, 3 (02):