Three-dimensional reconstruction of laryngeal cancer with whole organ serial immunohistochemical sections

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.

3D histology reveals that immune response to pancreatic precancers is heterogeneous and depends on global pancreas structure

“…CODA is a workflow for quantitative 3D mapping of tissues using serially sectioned, hematoxylin and eosin (H&E) stained and digitized microscope slides that has been used extensively to study the 3D microanatomy, transcriptomic signatures, and 3D genetic heterogeneity of PanINs at single-cell resolution. 11,18,[24][25][26][27][28][29] As with existing serial sectioning workflows [30][31][32][33][34][35][36][37] , CODA is compatible with integration of multiple histological stains for study of structures that are difficult to detect using H&E alone. [36][37][38][39] Here, through extension of CODA to analyze immunohistochemically (IHC) stained serial histological images, we explore at cellular resolution the spatial landscape of immune infiltration in large 3D pancreas tissues containing PanINs.…”

The New Era of Three-Dimensional Histoarchitecture of the Human Endometrium

“…To overcome the limitations of 2D studies, several researchers have developed various techniques. For example, digital reconstruction techniques of serial pathological section images have been applied to the three-dimensional (3D) visualization of tissue structures, such as vessels, glands, tumors, and volume rendering [ 1 , 2 , 3 , 4 , 5 ]. Tissue clearing techniques combined with optical sectioning and confocal microscopy or light-sheet microscopy (LSM) have enabled whole-organ and whole-body imaging with single-cell resolution [ 6 , 7 , 8 , 9 , 10 , 11 ].…”