Deep learning‐based ultra‐fast identification of Raman spectra with low signal‐to‐noise ratio
Kunxiang Liu,
Fuyuan Chen,
Lindong Shang
et al.
Abstract:Ensuring the correct use of cell lines is crucial to obtaining reliable experimental results and avoiding unnecessary waste of resources. Raman spectroscopy has been confirmed to be able to identify cell lines, but the collection time is usually 10‐30s. In this study, we acquired Raman spectra of five cell lines with integration times of 0.1s and 8s, respectively, and the average accuracy of using long‐short memory neural network to identify the spectra of 0.1s was 95%, and the average accuracy of identifying … Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.