In Situ Reconstruction
In Situ Reconstruction - Related Videos
08:00
Whole-Mount In Situ Hybridization
0 Views •
2023
Whole-mount in situ hybridization (WMISH) is a common technique used for visualizing the location of expressed RNAs in embryos. In this process, synthetically produced RNA probes are first complementarily bound, or "hybridized," to the transcripts of target genes. Immunohistochemistry or fluorescence is then used to detect these RNA hybrids, revealing spatial and temporal patterns of gene expression. Unlike traditional in situ hybridization techniques, which require thin tissue sections whose...
08:56
Tissue-Engineered Graft for Circumferential Esophageal Reconstruction in Rats
0 Views •
Cited by 2 •
2020
Esophageal reconstruction is a challenging procedure, and development of a tissue-engineered esophagus that enables regeneration of esophageal mucosa and muscle and that can be implanted as an artificial graft is necessary. Here, we present our protocol to generate an artificial esophagus, including scaffold manufacturing, bioreactor cultivation, and various surgical techniques.
08:01
Designing CAD/CAM Surgical Guides for Maxillary Reconstruction Using an In-house Approach
0 Views •
Cited by 11 •
2018
Methods for designing a computer-aided design/computer-aided manufacturing (CAD/CAM) surgical guide are shown. Cutting planes are separated, united, and thickened to easily visualize the necessary bone transfer. These designs can be three-dimensional printed and checked for accuracy.
06:32
Coronoid-Temporalis Pedicled Flap for Orbital Floor Defect Reconstruction
0 Views •
2025
This protocol presents a novel coronoid-temporalis pedicled flap (CTPF) technique for reconstructing small-to-medium orbital floor defects. CTPF avoids microvascular risks while maintaining biomechanical stability. Clinical cases demonstrate effective structural restoration, reduced complications, and preserved facial symmetry, offering a viable alternative to traditional grafts or alloplastic materials.
10:42
A Postoperative Evaluation Guideline for Computer-Assisted Reconstruction of the Mandible
0 Views •
Cited by 11 •
2020
Here, we propose a practical, feasible and reproducible evaluation guideline for computer-assisted reconstruction of the mandible in order to create uniformity between studies regarding postoperative accuracy evaluation. This protocol continues and specifies an earlier publication of this evaluation guideline.
FAQs
Computational mapping connects measurements collected in intact or minimally disturbed specimens with their original tissue locations. This allows genes, proteins, and cell types to be assigned to specific spatial positions rather than analyzed only as pooled signals. The resulting map helps investigators examine how neighboring components are organized and how that organization relates to tumor behavior.
Native spatial context reveals relationships that can disappear when tissue is disrupted for conventional analysis. In tumors, the location of a cell type, gene signal, or protein pattern can help distinguish organized microenvironmental interactions from broadly distributed features. Preserving these relationships therefore supports more precise interpretations of tumor heterogeneity and local biological behavior.
The framework can address molecular, cellular, and spatial organization within the same biological context. Measurements may assign genes or proteins to locations while also identifying the cell types occupying those regions. Considering these layers together helps connect molecular patterns with cellular composition and tissue arrangement, giving cancer researchers a more integrated view of tumor biology.
Conventional analyses may lose spatial relationships when specimens are separated or examined without their original organization. In Situ Reconstruction retains those relationships by working with intact or minimally disturbed material and combining direct measurements with imaging and computational mapping. This difference enables analysis of where features occur, not only which features are present.
A typical workflow begins with measurements made directly in an intact or minimally disturbed specimen. Imaging then captures the relevant tissue organization, and computational mapping connects the measured genes, proteins, or cell types to their native locations. The resulting spatially informed reconstruction can be examined for patterns involving tumor structure, neighboring cells, and molecular features.
By retaining location information, the approach can show how different cellular and molecular features are distributed across a tumor rather than treating the specimen as uniform. Researchers can use these spatial patterns to characterize tumor heterogeneity and examine interactions within the tumor microenvironment. This adds local context to measurements that might otherwise obscure regional differences.
Spatially mapped genes, proteins, and cell types can be examined for patterns associated with invasion or treatment response. Because the measurements remain connected to tissue location, researchers can relate these outcomes to particular regions and cellular neighborhoods. This supports more precise models of how tumor behavior varies within a specimen and across its microenvironment.