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Cell detachment and label-free cell sorting using modulated surface acoustic waves (SAW) in droplet-based microfluidics

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Adrien Bussonnière, Yannick Miron, Michael Baudoin, Olivier Bou-Matar, Michel Grandbois, Paul Charette, Alan Renaudin

Biological Physics · Submitted 1 Jul 2014

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim We present a droplet-based surface acoustic wave (SAW) system designed to viably detach biological cells from a surface and sort cell types based on differences in adhesion strength (adhesion contrast), without the need to label cells with molecular markers.

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arXiv ID1407.0287 (version 1)
Pith IDER2TJ75B, Pith's permanent record of this paper and its review
CitationAdrien Bussonni\`ere, Alan Renaudin, Michael Baudoin, Michel Grandbois, Olivier Bou-Matar, Paul Charette, Yannick Miron. "Cell detachment and label-free cell sorting using modulated surface acoustic waves (SAW) in droplet-based microfluidics." arXiv:1407.0287 (2014). https://pith.science/paper/ER2TJ75B
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,670 input tokens, $0.0002 reported.

What the abstract itself states, as probabilities: claims first 0.05 · states limitation 0.30 · human participants 0.04 · controlled comparison 0.10 · randomized assignment 0.02 · states quantitative result 0.99 · compares with prior results 0.07 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

We present a droplet-based surface acoustic wave (SAW) system designed to viably detach biological cells from a surface and sort cell types based on differences in adhesion strength (adhesion contrast), without the need to label cells with molecular markers. The system uses modulated SAW to generate pulsatile flows in the droplets and efficiently detach the cells, thereby minimizing SAW excitation power and exposure time. As a proof-of-principle, the system is shown to efficiently sort HEK 293 from A7r5 cells based on adhesion contrast. Results are obtained in minutes with sorting purity and efficiency reaching 97 % and 95 %, respectively.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 We present a droplet-based surface acoustic wave (SAW) system designed to viably detach biological cells from a surface and sort cell types based on differences in adhesion strength (adhesion contrast), without the need to label cells with molecular markers. contribution 1.00 0.92 0.53 asserted 1.00
s1 The system uses modulated SAW to generate pulsatile flows in the droplets and efficiently detach the cells, thereby minimizing SAW excitation power and exposure time. method 1.00 0.79 0.07 asserted 1.00
s2 As a proof-of-principle, the system is shown to efficiently sort HEK 293 from A7r5 cells based on adhesion contrast. result 0.66 0.95 0.21 asserted 1.00
s3 Results are obtained in minutes with sorting purity and efficiency reaching 97 % and 95 %, respectively. result 1.00 0.95 0.24 asserted 1.00

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from observation or experiment 1.00.

What was examined, and what was not

sources read
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not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
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  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

We present a droplet-based surface acoustic wave (SAW) system designed to viably detach biological cells from a surface and sort cell types based on differences in adhesion strength (adhesion contrast), without the need to label cells with molecular markers. The system uses modulated SAW to generate pulsatile flows in the droplets and efficiently detach the cells, thereby minimizing SAW excitation power and exposure time. As a proof-of-principle, the system is shown to efficiently sort HEK 293 from A7r5 cells based on adhesion contrast. Results are obtained in minutes with sorting purity and efficiency reaching 97 % and 95 %, respectively.

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