Cargando…

Image-based cell sorting using focused travelling surface acoustic waves

Sorting cells is an essential primary step in many biological and clinical applications such as high-throughput drug screening, cancer research and cell transplantation. Cell sorting based on their mechanical properties has long been considered as a promising label-free biomarker that could revoluti...

Descripción completa

Detalles Bibliográficos
Autores principales: Nawaz, Ahmad Ahsan, Soteriou, Despina, Xu, Catherine K., Goswami, Ruchi, Herbig, Maik, Guck, Jochen, Girardo, Salvatore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844123/
https://www.ncbi.nlm.nih.gov/pubmed/36620943
http://dx.doi.org/10.1039/d2lc00636g
_version_ 1784870550103916544
author Nawaz, Ahmad Ahsan
Soteriou, Despina
Xu, Catherine K.
Goswami, Ruchi
Herbig, Maik
Guck, Jochen
Girardo, Salvatore
author_facet Nawaz, Ahmad Ahsan
Soteriou, Despina
Xu, Catherine K.
Goswami, Ruchi
Herbig, Maik
Guck, Jochen
Girardo, Salvatore
author_sort Nawaz, Ahmad Ahsan
collection PubMed
description Sorting cells is an essential primary step in many biological and clinical applications such as high-throughput drug screening, cancer research and cell transplantation. Cell sorting based on their mechanical properties has long been considered as a promising label-free biomarker that could revolutionize the isolation of cells from heterogeneous populations. Recent advances in microfluidic image-based cell analysis combined with subsequent label-free sorting by on-chip actuators demonstrated the possibility of sorting cells based on their physical properties. However, the high purity of sorting is achieved at the expense of a sorting rate that lags behind the analysis throughput. Furthermore, stable and reliable system operation is an important feature in enabling the sorting of small cell fractions from a concentrated heterogeneous population. Here, we present a label-free cell sorting method, based on the use of focused travelling surface acoustic wave (FTSAW) in combination with real-time deformability cytometry (RT-DC). We demonstrate the flexibility and applicability of the method by sorting distinct blood cell types, cell lines and particles based on different physical parameters. Finally, we present a new strategy to sort cells based on their mechanical properties. Our system enables the sorting of up to 400 particles per s. Sorting is therefore possible at high cell concentrations (up to 36 million per ml) while retaining high purity (>92%) for cells with diverse sizes and mechanical properties moving in a highly viscous buffer. Sorting of small cell fraction from a heterogeneous population prepared by processing of small sample volume (10 μl) is also possible and here demonstrated by the 667-fold enrichment of white blood cells (WBCs) from raw diluted whole blood in a continuous 10-hour sorting experiment. The real-time analysis of multiple parameters together with the high sensitivity and high-throughput of our method thus enables new biological and therapeutic applications in the future.
format Online
Article
Text
id pubmed-9844123
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher The Royal Society of Chemistry
record_format MEDLINE/PubMed
spelling pubmed-98441232023-02-07 Image-based cell sorting using focused travelling surface acoustic waves Nawaz, Ahmad Ahsan Soteriou, Despina Xu, Catherine K. Goswami, Ruchi Herbig, Maik Guck, Jochen Girardo, Salvatore Lab Chip Chemistry Sorting cells is an essential primary step in many biological and clinical applications such as high-throughput drug screening, cancer research and cell transplantation. Cell sorting based on their mechanical properties has long been considered as a promising label-free biomarker that could revolutionize the isolation of cells from heterogeneous populations. Recent advances in microfluidic image-based cell analysis combined with subsequent label-free sorting by on-chip actuators demonstrated the possibility of sorting cells based on their physical properties. However, the high purity of sorting is achieved at the expense of a sorting rate that lags behind the analysis throughput. Furthermore, stable and reliable system operation is an important feature in enabling the sorting of small cell fractions from a concentrated heterogeneous population. Here, we present a label-free cell sorting method, based on the use of focused travelling surface acoustic wave (FTSAW) in combination with real-time deformability cytometry (RT-DC). We demonstrate the flexibility and applicability of the method by sorting distinct blood cell types, cell lines and particles based on different physical parameters. Finally, we present a new strategy to sort cells based on their mechanical properties. Our system enables the sorting of up to 400 particles per s. Sorting is therefore possible at high cell concentrations (up to 36 million per ml) while retaining high purity (>92%) for cells with diverse sizes and mechanical properties moving in a highly viscous buffer. Sorting of small cell fraction from a heterogeneous population prepared by processing of small sample volume (10 μl) is also possible and here demonstrated by the 667-fold enrichment of white blood cells (WBCs) from raw diluted whole blood in a continuous 10-hour sorting experiment. The real-time analysis of multiple parameters together with the high sensitivity and high-throughput of our method thus enables new biological and therapeutic applications in the future. The Royal Society of Chemistry 2023-01-09 /pmc/articles/PMC9844123/ /pubmed/36620943 http://dx.doi.org/10.1039/d2lc00636g Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by/3.0/
spellingShingle Chemistry
Nawaz, Ahmad Ahsan
Soteriou, Despina
Xu, Catherine K.
Goswami, Ruchi
Herbig, Maik
Guck, Jochen
Girardo, Salvatore
Image-based cell sorting using focused travelling surface acoustic waves
title Image-based cell sorting using focused travelling surface acoustic waves
title_full Image-based cell sorting using focused travelling surface acoustic waves
title_fullStr Image-based cell sorting using focused travelling surface acoustic waves
title_full_unstemmed Image-based cell sorting using focused travelling surface acoustic waves
title_short Image-based cell sorting using focused travelling surface acoustic waves
title_sort image-based cell sorting using focused travelling surface acoustic waves
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844123/
https://www.ncbi.nlm.nih.gov/pubmed/36620943
http://dx.doi.org/10.1039/d2lc00636g
work_keys_str_mv AT nawazahmadahsan imagebasedcellsortingusingfocusedtravellingsurfaceacousticwaves
AT soterioudespina imagebasedcellsortingusingfocusedtravellingsurfaceacousticwaves
AT xucatherinek imagebasedcellsortingusingfocusedtravellingsurfaceacousticwaves
AT goswamiruchi imagebasedcellsortingusingfocusedtravellingsurfaceacousticwaves
AT herbigmaik imagebasedcellsortingusingfocusedtravellingsurfaceacousticwaves
AT guckjochen imagebasedcellsortingusingfocusedtravellingsurfaceacousticwaves
AT girardosalvatore imagebasedcellsortingusingfocusedtravellingsurfaceacousticwaves