Evidence map›Paper›PMID 36620943›Full record

ArticleLab on a chip2023

Image-based cell sorting using focused travelling surface acoustic waves.

Ahmad Ahsan Nawaz, Despina Soteriou, Catherine K Xu, Ruchi Goswami, Maik Herbig, Jochen Guck, Salvatore Girardo

Abstract read
In one paragraph

Article in Lab on a chip, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Acoustofluidic Biosensors.Micromachines · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Isolation Techniques of Micro/Nano-Scaled Species for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ahmad Ahsan NawazMax Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany. jochen.guck@mpl.mpg.de.ORCID 0000-0001-8555-4704
Despina SoteriouMax Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany. jochen.guck@mpl.mpg.de.ORCID 0000-0002-5702-5159
Catherine K XuMax Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany. jochen.guck@mpl.mpg.de.ORCID 0000-0003-4726-636X
Ruchi GoswamiMax Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany. jochen.guck@mpl.mpg.de.ORCID 0000-0001-9724-2898
Maik HerbigDepartment of Chemistry, University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7592-7829
Jochen GuckMax Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany. jochen.guck@mpl.mpg.de.ORCID 0000-0002-1453-6119
Salvatore GirardoMax Planck Institute for the Science of Light & Max-Planck-Zentrum für Physik und Medizin, Erlangen, Germany. jochen.guck@mpl.mpg.de.ORCID 0000-0002-5350-0186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Microfluidic Analytical TechniquesSoundCell SeparationFlow CytometryLeukocytesMicrofluidics

Identifiers

PMID36620943
PMCPMC9844123

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.