Data from doi.org/10.1038/s41598-023-42793-9
Description
This data is related to the publication:
Classification of cancer cells at the sub-cellular level by Phonon 3 Microscopy using Deep Learning :
doi.org/10.1038/s41598-023-42793-9
External URI
Related publication DOI
Subjects
- Microscopy
- Breast – Cancer
- Cancer cells
- Cytology – Methods
- Phonon microscopy; Breast cancer cells
- Subjects Allied to Medicine::Medical technology
- Engineering::General engineering::Bioengineering, biomedical engineering & clinical engineering
- Q Science::QH Natural history. Biology::QH201 Microscopy
Divisions
- University of Nottingham, UK Campus::Faculty of Engineering::Department of Electrical and Electronic Engineering
Deposit date
2024-08-20Data type
CVS files containing the raw data from phonon microscopyContributors
- Alan, McIntyre
Funders
- Engineering & Physical Sciences Research Council
- Other
- University of Nottingham, UNICAS
Grant number
- N/A
Collection dates
- 2019
Data collection method
Phonon microscopy, Time-resolved Brillouin Scattering, Picosecond ultrasonicsResource languages
- en
Copyright
- Authors of doi.org/10.1038/s41598-023-42793-9