Scalable method for micro-CT analysis enables large scale quantitative characterization of brain lesions and implants

被引:0
|
作者
David B. Kastner
Viktor Kharazia
Rhino Nevers
Clay Smyth
Daniela A. Astudillo-Maya
Greer M. Williams
Zhounan Yang
Cristofer M. Holobetz
Luca Della Santina
Dilworth Y. Parkinson
Loren M. Frank
机构
[1] University of California,Department of Psychiatry and Behavioral Sciences
[2] University of California,Kavli Institute for Fundamental Neuroscience and Department of Physiology
[3] University of California,Deparment of Ophthalmology
[4] University of California,Bakar Computational Health Science Unit
[5] Lawrence Berkeley National Labs,Advanced Light Source
[6] Howard Hughes Medical Institute,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Anatomic evaluation is an important aspect of many studies in neuroscience; however, it often lacks information about the three-dimensional structure of the brain. Micro-CT imaging provides an excellent, nondestructive, method for the evaluation of brain structure, but current applications to neurophysiological or lesion studies require removal of the skull as well as hazardous chemicals, dehydration, or embedding, limiting their scalability and utility. Here we present a protocol using eosin in combination with bone decalcification to enhance contrast in the tissue and then employ monochromatic and propagation phase-contrast micro-CT imaging to enable the imaging of brain structure with the preservation of the surrounding skull. Instead of relying on descriptive, time-consuming, or subjective methods, we develop simple quantitative analyses to map the locations of recording electrodes and to characterize the presence and extent of hippocampal brain lesions.
引用
收藏
相关论文
共 50 条
  • [21] Surface extraction can provide a reference for micro-CT analysis of retrieved total knee implants
    Teeter, Matthew G.
    Milner, Jaques S.
    Naudie, Douglas D. R.
    MacDonald, Steven J.
    KNEE, 2014, 21 (04): : 801 - 805
  • [22] Bioimaging marine crustacean brain: quantitative comparison of micro-CT preparations in an Alpheid snapping shrimp
    Chapuis, Lucille
    Andres, Cara-Sophia
    Gerneke, Dane A.
    Radford, Craig A.
    FRONTIERS IN NEUROSCIENCE, 2024, 18
  • [23] Can implants move in bone? A longitudinal in vivo micro-CT analysis of implants under constant forces in rat vertebrae
    Becker, Kathrin
    Schwarz, Frank
    Rauch, Nicole Jasmin
    Khalaph, Silava
    Mihatovic, Ilja
    Drescher, Dieter
    CLINICAL ORAL IMPLANTS RESEARCH, 2019, 30 (12) : 1179 - 1189
  • [24] Variation in segmentation of bone from micro-CT imaging: implications for quantitative morphometric analysis
    I. H. Parkinson
    A. Badiei
    N. L. Fazzalari
    Australasian Physics & Engineering Sciences in Medicine, 2008, 31 : 160 - 164
  • [25] Variation in segmentation of bone from micro-CT imaging: implications for quantitative morphometric analysis
    Parkinson, I. H.
    Badiei, A.
    Fazzalari, N. L.
    AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 2008, 31 (02) : 160 - 164
  • [26] Micro finite element analysis of continuously loaded mini-implants - A micro-CT study in the rat tail model
    Kerberger, Robert
    Brunello, Giulia
    Drescher, Dieter
    van Rietbergen, Bert
    Becker, Kathrin
    BONE, 2023, 177
  • [27] The cutting edge - Micro-CT for quantitative toolmark analysis of sharp force trauma to bone
    Norman, D. G.
    Watson, D. G.
    Burnett, B.
    Fenne, P. M.
    Williams, M. A.
    FORENSIC SCIENCE INTERNATIONAL, 2018, 283 : 156 - 172
  • [28] Characterization and analysis of alumina clusters in steel by X-ray Micro-CT
    Zhao, Yi
    Ju, Liying
    Guo, Xiaopei
    Li, Tao
    Tan, Min
    Guo, Han
    Gu, Shaopeng
    JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T, 2023, 24 : 3252 - 3264
  • [29] Analysis of the enamel hypoplasia using micro-CT scanner versus classical method
    Marchewka, Justyna
    Skrzat, Janusz
    Wrobel, Andrzej
    ANTHROPOLOGISCHER ANZEIGER, 2014, 71 (04) : 391 - 402
  • [30] ERIC: a scalable biclustering method for large scale data analysis
    Orzechowski, Patryk
    Moore, Jason H.
    PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCCO'19 COMPANION), 2019, : 31 - 32