IADR Abstract Archives
A Novel Histological Sample Preparation Utilizing Digital Dentistry
Objectives: Histological analysis is a powerful tool for qualitative assessment. It allows observation of multiple processes, such as inflammation and healing. The presence and distribution of cells and degradation products that dissolved into the surrounding tissue can also be assessed using histology. Specific cells, structures, and tissue can be highlighted with special stains.
Recently, out studies are investigating bone morphological change with surgical interventions in a time-dependent manner on the murine model. Accurate locational identification of the regions of interest (ROI) is therefore critical for observation of the healing process of bone and overlying soft tissue.
However, preservation of overlying soft tissue impedes the direct view of the bone and is often detrimental to the proper orientation of the specimen for sectioning, ultimately leading to non-consistent and imprecise histological sections involving guesswork. Thus, it is challenging to obtain proper histological slices of the ROI reproducibly.
Methods: We hypothesized that 3D image data of the location of the ROI utilizing XYZ-axis rotation angles obtained from cone-beam computed tomography (CBCT) could improve the quality of histological sections.
In this study, we present a novel method for angulating and positioning of anatomical samples utilizing purposely made devices with CBCT imaging analysis to precisely position the defect in 3D space, confirm its position, and mark the sample for histological processing.
Results: Our results indicate that our novel method significantly improved the accuracy of histological sample preparation, and significantly reduced animal sacrifices by omitting unnecessary supplemental experiments due to the improper histological sections.
Conclusions: The method described in this paper is easy to reproduce, does not require special materials and can help to save time and animal lives.
Recently, out studies are investigating bone morphological change with surgical interventions in a time-dependent manner on the murine model. Accurate locational identification of the regions of interest (ROI) is therefore critical for observation of the healing process of bone and overlying soft tissue.
However, preservation of overlying soft tissue impedes the direct view of the bone and is often detrimental to the proper orientation of the specimen for sectioning, ultimately leading to non-consistent and imprecise histological sections involving guesswork. Thus, it is challenging to obtain proper histological slices of the ROI reproducibly.
Methods: We hypothesized that 3D image data of the location of the ROI utilizing XYZ-axis rotation angles obtained from cone-beam computed tomography (CBCT) could improve the quality of histological sections.
In this study, we present a novel method for angulating and positioning of anatomical samples utilizing purposely made devices with CBCT imaging analysis to precisely position the defect in 3D space, confirm its position, and mark the sample for histological processing.
Results: Our results indicate that our novel method significantly improved the accuracy of histological sample preparation, and significantly reduced animal sacrifices by omitting unnecessary supplemental experiments due to the improper histological sections.
Conclusions: The method described in this paper is easy to reproduce, does not require special materials and can help to save time and animal lives.
