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
  • [1] Scalable method for micro-CT analysis enables large scale quantitative characterization of brain lesions and implants
    Kastner, David B.
    Kharazia, Viktor
    Nevers, Rhino
    Smyth, Clay
    Astudillo-Maya, Daniela A.
    Williams, Greer M.
    Yang, Zhounan
    Holobetz, Cristofer M.
    Della Santina, Luca
    Parkinson, Dilworth Y.
    Frank, Loren M.
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [2] Quantitative characterization and micro-CT mineral mapping of natural fissural enamel lesions
    Shahmoradi, Mahdi
    Swain, Michael V.
    JOURNAL OF DENTISTRY, 2016, 46 : 23 - 29
  • [3] Micro-CT Structure Analysis on Dental Implants: Preliminary In Vitro Trial
    Galletti, Fulvia
    D'Angelo, Tommaso
    Fiorillo, Luca
    Lo Giudice, Paola
    Irrera, Natasha
    Rizzo, Giuseppina
    Cervino, Gabriele
    PROSTHESIS, 2024, 6 (06): : 1437 - 1447
  • [4] Qualitative and Quantitative Micro-CT Analysis of Natal and Neonatal Teeth
    Bijle, Mohammed Nadeem
    Mallineni, Sreekanth Kumar
    Tsoi, James
    CHILDREN-BASEL, 2022, 9 (04):
  • [5] QUANTITATIVE MICRO-CT ANALYSIS OF BONE IN ZEBRAFISH FOR STUDIES OF OA
    Russell, R.
    Tsang, K.
    Harris, M.
    Aliprantis, A.
    Charles, J.
    Duryea, J.
    OSTEOARTHRITIS AND CARTILAGE, 2015, 23 : A205 - A206
  • [6] 3-D visual analysis and quantitative characterization on coal matrix based on Micro-CT
    Zhao, Changxin
    Cheng, Yuanping
    Wang, Chenghao
    Zhang, Kaizhong
    Wang, Zhenyang
    Chu, Peng
    Yang, Tao
    INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2024, 176
  • [7] Micro-CT analysis of naturally arrested brown spot enamel lesions
    Shahmoradi, Mahdi
    Swain, Michael V.
    JOURNAL OF DENTISTRY, 2017, 56 : 105 - 111
  • [8] Primary Stability of Implants Inserted into Polyurethane Blocks: Micro-CT and Analysis In Vitro
    Haddad, Chadi Dura
    Andreatti, Ludovica
    Zelezetsky, Igor
    Porrelli, Davide
    Turco, Gianluca
    Bevilacqua, Lorenzo
    Maglione, Michele
    BIOENGINEERING-BASEL, 2024, 11 (04):
  • [9] Quantitative topographic anatomy of the femoral ACL footprint: a micro-CT analysis
    Norman, Daniel G.
    Getgood, Alan
    Thornby, John
    Bird, Jonathan
    Turley, Glen A.
    Spalding, Tim
    Williams, Mark A.
    MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 2014, 52 (11) : 985 - 995
  • [10] Quantitative topographic anatomy of the femoral ACL footprint: a micro-CT analysis
    Daniel G. Norman
    Alan Getgood
    John Thornby
    Jonathan Bird
    Glen A. Turley
    Tim Spalding
    Mark A. Williams
    Medical & Biological Engineering & Computing, 2014, 52 : 985 - 995