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Three-dimensional reconstruction of laryngeal cancer with whole organ serial immunohistochemical sections
- Source :
- Scientific Reports, Scientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
- Publication Year :
- 2020
- Publisher :
- Nature Publishing Group UK, 2020.
-
Abstract
- Three-dimensional (3D) image reconstruction of tumors based on serial histological sectioning is one of the most powerful methods for accurate high-resolution visualization of tumor structures. However, 3D histological reconstruction of whole tumor has not yet been achieved. We established a high-resolution 3D model of molecular marked whole laryngeal cancer by optimizing the currently available techniques. A series of 5,388 HE stained or immunohistochemically stained whole light microscopic images (200 ×) were acquired (15.61 TB).The data set of block-face images (96.2 GB) was also captured. Direct volume rendering of serial 6.25 × light microscopy images did not demonstrate the major characteristics of the laryngeal cancer as expected. Based on fusion of two datasets, the accurate boundary of laryngeal tumor bulk was visualized in an anatomically realistic context. In the regions of interest, micro tumor structure, budding, cell proliferation and tumor lymph vessels were well represented in 3D after segmentation, which highlighted the advantages of 3D reconstruction of light microscopy images. In conclusion, generating 3D digital histopathological images of a whole solid tumor based on current technology is feasible. However, data mining strategy should be developed for complete utilization of the large amount of data generated.
- Subjects :
- 0301 basic medicine
Male
Computer science
lcsh:Medicine
Context (language use)
Iterative reconstruction
Article
Imaging
Immunological techniques
03 medical and health sciences
0302 clinical medicine
Imaging, Three-Dimensional
Microscopy
medicine
Image Processing, Computer-Assisted
Humans
Segmentation
lcsh:Science
Solid tumor
Laryngeal Neoplasms
Aged
Multidisciplinary
lcsh:R
3D reconstruction
Cancer
Volume rendering
medicine.disease
Immunohistochemistry
Visualization
Data set
030104 developmental biology
030220 oncology & carcinogenesis
lcsh:Q
Cancer imaging
Lymph
Biomedical engineering
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....ceeb73463bdce0622dd5a7acd4a8674d