Hansmann Martin-Leo
Goethe-Universität Frankfurt, Frankfurt, Deutschland.
Konsultations- und Referenzzentrum für Haematopathologie, Helios Universitätsklinikum Wuppertal, Heusnerstr. 40, 42283, Wuppertal, Deutschland.
Pathologie (Heidelb). 2023 Dec;44(Suppl 3):140-143. doi: 10.1007/s00292-023-01265-7. Epub 2023 Nov 27.
Lymph-node diagnostics is performed using thin sections, with help of immunohistochemistry by light microscopy and supplemented by molecular pathology.
Which are the scientific and diagnostic perspectives of 3D and 4D lymph node investigations, using laser, scanning, and computer technologies? What is the impact of machine learning in complex data analysis.
It was shown in different investigations that the analysis in space and time (3D/4D) of lymph node tissue is able to provide a lot of new information concerning biology and diagnostics and enable excellent evaluations applying machine learning.
3D and 4D analysis of human lymphoid tissue gives new insights into immunologic mechanisms and malignant lymphomas.
淋巴结诊断采用薄切片,借助免疫组织化学进行光学显微镜检查,并辅以分子病理学。
利用激光、扫描和计算机技术对淋巴结进行三维(3D)和四维(4D)检查的科学和诊断前景如何?机器学习在复杂数据分析中的影响是什么?
不同研究表明,对淋巴结组织进行时空(3D/4D)分析能够提供许多有关生物学和诊断的新信息,并能通过机器学习进行出色的评估。
对人类淋巴组织进行3D和4D分析为免疫机制和恶性淋巴瘤提供了新的见解。