Abstract
We have constructed a holographic optical tweezers system combined with Raman spectroscopy to sort trapped particles. Our software automatically moves the trapped objects to the measurement positions to obtain individual Raman signals from multiple trapped particles. We performed the sorting by comparing their spectra with the previously measured training dataset using the correlation coefficients. We used yeast cells and polystyrene beads as test particles. This study aims to show that biological particles can be separated using single cell analysis with combined holographic optical tweezers and Raman spectroscopy system.
Original language | English |
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Pages (from-to) | 228-234 |
Number of pages | 7 |
Journal | Journal of Modern Optics |
Volume | 66 |
Issue number | 2 |
DOIs | |
Publication status | Published - 19 Jan 2019 |
Bibliographical note
Publisher Copyright:© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Holographic optical tweezers
- Raman spectroscopy
- multivariate statistical analysis
- particle sorting