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Three-dimensional surface texture visualization of bone tissue through epifluorescence-based serial block face imaging
- Source :
- Journal of microscopy. 236(1)
- Publication Year :
- 2009
-
Abstract
- Serial block face imaging is a microscopy technique in which the top of a specimen is cut or ground away and a mosaic of images is collected of the newly revealed cross-section. Images collected from each slice are then digitally stacked to achieve three-dimensional images. The development of fully-automated image acquisition devices has made serial block face imaging more attractive by greatly reducing labor requirements. The technique is particularly attractive for studies of biological activity within cancellous bone as it has the capability of achieving direct, automated measures of biological and morphological traits and their associations with one another. When used with fluorescence microscopy, serial block face imaging has the potential to achieve 3D images of tissue as well as fluorescent markers of biological activity. Epifluorescence-based serial block face imaging presents a number of unique challenges for visualizing bone specimens due to noise generated by subsurface signal and local variations in tissue autofluorescence. Here we present techniques for processing serial block face images of trabecular bone using a combination of non-uniform illumination correction, precise tiling of the mosaic in each cross-section, cross-section alignment for vertical stacking, removal of subsurface signal, and segmentation. The resulting techniques allow examination of bone surface texture that will enable 3D quantitative measures of biological processes in cancellous bone biopsies.
- Subjects :
- Fluorescence-lifetime imaging microscopy
Histology
Computer science
business.industry
Image processing
Bone tissue
Signal
Bone and Bones
Article
Pathology and Forensic Medicine
Visualization
Rats
Automation
medicine.anatomical_structure
Imaging, Three-Dimensional
Microscopy, Fluorescence
Microscopy
medicine
Image Processing, Computer-Assisted
Animals
Computer vision
Segmentation
Artificial intelligence
business
Cancellous bone
Subjects
Details
- ISSN :
- 13652818
- Volume :
- 236
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Journal of microscopy
- Accession number :
- edsair.doi.dedup.....cc31da8cb37f92f7ac79e56bc4f6e51f