[Virtual histopathology of the pancreas: 3D insights using synchrotron-based imaging].
1/5 보강
[BACKGROUND] Conventional histopathology faces methodological limitations when assessing complex three-dimensional tissue architectures.
APA
Gaida MM, Hessel L, et al. (2026). [Virtual histopathology of the pancreas: 3D insights using synchrotron-based imaging].. Pathologie (Heidelberg, Germany), 47(2), 136-143. https://doi.org/10.1007/s00292-025-01533-8
MLA
Gaida MM, et al.. "[Virtual histopathology of the pancreas: 3D insights using synchrotron-based imaging].." Pathologie (Heidelberg, Germany), vol. 47, no. 2, 2026, pp. 136-143.
PMID
41504925
Abstract
[BACKGROUND] Conventional histopathology faces methodological limitations when assessing complex three-dimensional tissue architectures. In particular, for heterogeneous tissues such as the pancreas or in complex tissue pathologies, restriction to two-dimensional sections hampers comprehensive recognition of morphological features.
[OBJECTIVE] This study aims to demonstrate the potential of synchrotron-based phase-contrast imaging (SRµCT) as a tool for high-resolution visualization of pancreatic tissue. Three representative case examples were analyzed to capture morphological parameters volumetrically and correlate them with immunohistochemical marker profiles.
[MATERIALS AND METHODS] Tissue cores from formalin-fixed, paraffin-embedded human pancreatic samples were volumetrically assessed using SRµCT. The investigated material was further processed as microarrays. Serial sections and immunohistochemical stains were correlated with the 3D datasets.
[RESULTS] SRµCT enabled detailed spatial visualization of functional compartments and neoplastic infiltration patterns. Non-neoplastic tissue revealed distinct morphological compartments. A well-differentiated neuroendocrine tumor exhibited trabecular architecture, whereas ductal adenocarcinoma displayed infiltrative growth with diffuse, heterogeneous architecture, irregular duct formations and stromal desmoplasia. Virtual slicing permitted orientation-independent analyses. Correlation with immunohistochemical profiles validated the morphofunctional findings.
[CONCLUSION] SRµCT is a sensitive, non-invasive technique providing label-free 3D insights into pancreatic architecture. It opens new perspectives for research, teaching, and potentially advanced diagnostic applications.
[OBJECTIVE] This study aims to demonstrate the potential of synchrotron-based phase-contrast imaging (SRµCT) as a tool for high-resolution visualization of pancreatic tissue. Three representative case examples were analyzed to capture morphological parameters volumetrically and correlate them with immunohistochemical marker profiles.
[MATERIALS AND METHODS] Tissue cores from formalin-fixed, paraffin-embedded human pancreatic samples were volumetrically assessed using SRµCT. The investigated material was further processed as microarrays. Serial sections and immunohistochemical stains were correlated with the 3D datasets.
[RESULTS] SRµCT enabled detailed spatial visualization of functional compartments and neoplastic infiltration patterns. Non-neoplastic tissue revealed distinct morphological compartments. A well-differentiated neuroendocrine tumor exhibited trabecular architecture, whereas ductal adenocarcinoma displayed infiltrative growth with diffuse, heterogeneous architecture, irregular duct formations and stromal desmoplasia. Virtual slicing permitted orientation-independent analyses. Correlation with immunohistochemical profiles validated the morphofunctional findings.
[CONCLUSION] SRµCT is a sensitive, non-invasive technique providing label-free 3D insights into pancreatic architecture. It opens new perspectives for research, teaching, and potentially advanced diagnostic applications.