4D OCT helps to solve mystery of early embryonic heartbeat

被引：0
|
作者：
Farmer, Douglas
机构：
来源：
Biophotonics International | 2020年 / 27卷 / 06期
关键词：
HOBOKEN; N.J. — The way a living heart beats inside an embryo before the valves have yet developed has baffled scientists and clinicians for years. Thanks to a collaboration of researchers using 4D optical coherence tomography (OCT) technology to analyze mice embryos; part of the answer to the mystery — the suction and pushing mechanisms within the embryonic heart — has been uncovered;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [41] 4D ultrasound study of fetal movement early in the second trimester of pregnancy
    Sajapala, Suraphan
    AboEllail, Mohamed Ahmed Mostafa
    Kanenishi, Kenji
    Mori, Nobuhiro
    Marumo, Genzo
    Hata, Toshiyuki
    JOURNAL OF PERINATAL MEDICINE, 2017, 45 (06) : 737 - 743
  • [42] Deep learning with 4D spatio-temporal data representations for OCT-based force estimation
    Gessert, Nils
    Bengs, Marcel
    Schlueter, Matthias
    Schlaefer, Alexander
    MEDICAL IMAGE ANALYSIS, 2020, 64
  • [43] A multi-omics approach to visualize early neuronal differentiation in 4D
    Samara, Athina
    Spildrejorde, Mari
    Sharma, Ankush
    Falck, Martin
    Leithaug, Magnus
    Modafferi, Stefania
    Bjornstad, Pal Marius
    Acharya, Ganesh
    Gervin, Kristina
    Lyle, Robert
    Eskeland, Ragnhild
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2023, 31 : 634 - 635
  • [44] 4D megahertz optical coherence tomography (OCT): imaging and live display beyond 1 gigavoxel/sec
    Huber, Robert A.
    Draxinger, Wolfgang
    Wieser, Wolfgang
    Kolb, Jan Philip
    Pfeiffer, Tom
    Karpf, Sebastian N.
    Eibl, Matthias
    Klein, Thomas
    HIGH-SPEED BIOMEDICAL IMAGING AND SPECTROSCOPY: TOWARD BIG DATA INSTRUMENTATION AND MANAGEMENT, 2016, 9720
  • [45] Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
    Bengs, Marcel
    Gessert, Nils
    Schlueter, Matthias
    Schlaefer, Alexander
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2020, 15 (06) : 943 - 952
  • [46] Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
    Marcel Bengs
    Nils Gessert
    Matthias Schlüter
    Alexander Schlaefer
    International Journal of Computer Assisted Radiology and Surgery, 2020, 15 : 943 - 952
  • [47] 4D subject-specific inverse modeling of the chick embryonic heart outflow tract hemodynamics
    Sevan Goenezen
    Venkat Keshav Chivukula
    Madeline Midgett
    Ly Phan
    Sandra Rugonyi
    Biomechanics and Modeling in Mechanobiology, 2016, 15 : 723 - 743
  • [48] 4D subject-specific inverse modeling of the chick embryonic heart outflow tract hemodynamics
    Goenezen, Sevan
    Chivukula, Venkat Keshav
    Midgett, Madeline
    Phan, Ly
    Rugonyi, Sandra
    BIOMECHANICS AND MODELING IN MECHANOBIOLOGY, 2016, 15 (03) : 723 - 743
  • [49] Segmentation of beating embryonic heart structures from 4-D OCT images using deep learning
    Ling, Shan
    Blackburn, Brecken J.
    Jenkins, Michael W.
    Watanabe, Michiko
    Ford, Stephanie M.
    Lapierre-Landry, Maryse
    Rollins, Andrew M.
    BIOMEDICAL OPTICS EXPRESS, 2023, 14 (05) : 1945 - 1958
  • [50] Real-time tool to layer distance estimation for robotic subretinal injection using intraoperative 4D OCT
    Sommersperger, Michael
    Weiss, Jakob
    Nasseri, M. Ali
    Gehlbach, Peter
    Iordachita, Iulian
    Navab, Nassir
    BIOMEDICAL OPTICS EXPRESS, 2021, 12 (02) : 1085 - 1104
12345