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[A high-precision digital images date set of larynx].
- Source :
-
Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery [Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi] 2017 Apr 05; Vol. 31 (7), pp. 540-543. - Publication Year :
- 2017
-
Abstract
- Objective: To build a digital cross-sectional images date set of human normal larynx with high-precision. Method: A fresh frozen normal human larynx was embedded using Kawamot's Film Method and then serially sectioned at 10 μm with a LeicaCM3600XP Cryomacrotome, meanwhile digital images of the block surface were recorded after every section with a Nikon D750 camera and stored respectively as JPG and RAW files. All images were cropped to display a constant area on the block surface by photoshop7 and stored as TIFF files. Result: A total of 6 656 images were recorded in 24-bit RGB resolution, the complete data file is 97.5 GB and 174 GB. After elimination of image size variation, all images were re-sampled at a final resolution of 40 μm/pixel and the complete data file is 107 GB. Conclusion: It's feasible to use the combination of Kawamot's Film Method,Digital Single Lens Reflex with high-resolution and regular block face-based alignment to build high-precision digital images date set, which could apply to some partial organs that resemble larynx.<br />Competing Interests: The authors of this article and the planning committee members and staff have no relevant financial relationships with commercial interests to disclose.<br /> (Copyright© by the Editorial Department of Journal of Clinical Otorhinolaryngology Head and Neck Surgery.)
- Subjects :
- Humans
Image Processing, Computer-Assisted
Larynx diagnostic imaging
Subjects
Details
- Language :
- Chinese
- ISSN :
- 2096-7993
- Volume :
- 31
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery
- Publication Type :
- Academic Journal
- Accession number :
- 29871305
- Full Text :
- https://doi.org/10.13201/j.issn.1001-1781.2017.07.011