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Preparation of Samples for Large-Scale Automated Electron Microscopy of Tissue and Cell Ultrastructure
- Source :
- Microscopy and microanalysis 27(4), 815-827 (2021). doi:10.1017/S1431927621011958
- Publication Year :
- 2021
- Publisher :
- Oxford University Press (OUP), 2021.
-
Abstract
- Manual selection of targets in experimental or diagnostic samples by transmission electron microscopy (TEM), based on single overview and detail micrographs, has been time-consuming and susceptible to bias. Substantial information and throughput gain may now be achieved by the automated acquisition of virtually all structures in a given EM section. Resulting datasets allow the convenient pan-and-zoom examination of tissue ultrastructure with preserved microanatomical orientation. The technique is, however, critically sensitive to artifacts in sample preparation. We, therefore, established a methodology to prepare large-scale digitization samples (LDS) designed to acquire entire sections free of obscuring flaws. For evaluation, we highlight the supreme performance of scanning EM in transmission mode compared with other EM technology. The use of LDS will substantially facilitate access to EM data for a broad range of applications.
- Subjects :
- 0301 basic medicine
2019-20 coronavirus outbreak
Materials science
Cells
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Specimen Handling
law.invention
diagnostic electron microscopy
large-scale electron microscopy
03 medical and health sciences
nanotomy
0302 clinical medicine
Microscopy, Electron, Transmission
law
Scanning transmission electron microscopy
Instrumentation
Diagnostic electron microscopy
sample preparation
Orientation (computer vision)
030104 developmental biology
Transmission (telecommunications)
030220 oncology & carcinogenesis
scanning transmission electron microscopy
Microscopy, Electron, Scanning
Ultrastructure
ddc:500
Electron microscope
Biomedical engineering
Subjects
Details
- ISSN :
- 14358115 and 14319276
- Volume :
- 27
- Database :
- OpenAIRE
- Journal :
- Microscopy and Microanalysis
- Accession number :
- edsair.doi.dedup.....0fbbdcff6b9713ca5b9310e97f82d598
- Full Text :
- https://doi.org/10.1017/s1431927621011958