A low-cost, label-free microfluidic scanning flow cytometer for high-accuracy quantification of size and refractive index of particles

被引:4
|
作者
Reale, Riccardo [1 ]
Peruzzi, Giovanna [1 ]
Ghoreishi, Maryamsadat [1 ]
Stabile, Helena [2 ]
Ruocco, Giancarlo [1 ]
Leonetti, Marco [1 ,3 ]
机构
[1] Italian Inst Technol, Ctr Life Nano& Neurosci, Rome, Italy
[2] Sapienza Univ Rome, Dept Mol Med, Rome, Italy
[3] CNR, Inst Nanotechnol, Soft & Living Matter Lab, I-00185 Rome, Italy
基金
欧洲研究理事会;
关键词
DISTRIBUTION WIDTH MDW; LIGHT-SCATTERING; CELL BIOLOGY;
D O I
10.1039/d2lc01179d
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Flow cytometers and fluorescence activated cells sorters (FCM/FACS) represent the gold standard for high-throughput single-cell analysis, but their usefulness for label-free applications is limited by the unreliability of forward and side scatter measurements. Scanning flow cytometers represent an appealing alternative, as they exploit measurements of the angle-resolved scattered light to provide accurate and quantitative estimates of cellular properties, but the requirements of current setups are unsuitable for integration with other lab-on-chip technologies or for point-of-care applications. Here we present the first microfluidic scanning flow cytometer (mu SFC), able to achieve accurate angle-resolved scattering measurements within a standard polydimethylsiloxane microfluidic chip. The system exploits a low cost linearly variable optical density (OD) filter to reduce the dynamic range of the signal and to increase its signal-to-noise ratio. We present a performance comparison between the mu SFC and commercial machines for the label free characterization of polymeric beads with different diameters and refractive indices. In contrast to FCM and FACS, the mu SFC yields size estimates linearly correlated with nominal particle sizes (R-2 = 0.99) and quantitative estimates of particle refractive indices. The feasibility of using the mu SFC for the characterization of biological samples is demonstrated by analyzing a population of monocytes identified based on the morphology of a peripheral blood mononuclear cells sample, which yields values in agreement with the literature. The proposed mu SFC combines low setup requirements with high performance, and has great potential for integration within other lab-on-chip systems for multi-parametric cell analysis and for next-generation point-of-care diagnostic applications.
引用
收藏
页码:2039 / 2047
页数:9
相关论文
共 10 条
  • [1] A microfluidic scanning flow cytometer with superior signal-to-noise-ratio for label-free characterization of small particles
    Reale, Riccardo
    Ghoreishi, Maryamsadat
    Peruzzi, Giovanna
    Ruocco, Giancarlo
    Leonetti, Marco
    EOS ANNUAL MEETING, EOSAM 2024, 2024, 309
  • [2] Microscopy-based label-free size and refractive index quantification of nanoparticles in unknown media using DAISY
    Olsen, Erik
    Rodriguez, Berenice Garcia
    Skarberg, Fredrik
    Parkkila, Petteri
    Volpe, Giovanni
    Hook, Fredrik
    Midtvedt, Daniel
    EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS, 2023, 52 (SUPPL 1): : S40 - S40
  • [3] Low-cost polymer-film spiral inertial microfluidic device for label-free separation of malignant tumor cells
    Wang, Cailian
    Chen, Yan
    Gu, Xuyu
    Zhang, Xiuxiu
    Gao, Chanchan
    Dong, Lijun
    Zheng, Shiya
    Feng, Shicheng
    Xiang, Nan
    ELECTROPHORESIS, 2022, 43 (03) : 464 - 471
  • [4] A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples
    Gorocs, Zoltan
    Tamamitsu, Miu
    Bianco, Vittorio
    Wolf, Patrick
    Roy, Shounak
    Shindo, Koyoshi
    Yanny, Kyrollos
    Wu, Yichen
    Koydemir, Hatice Ceylan
    Rivenson, Yair
    Ozcan, Aydogan
    LIGHT-SCIENCE & APPLICATIONS, 2018, 7
  • [5] A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples
    Zoltán Gӧrӧcs
    Miu Tamamitsu
    Vittorio Bianco
    Patrick Wolf
    Shounak Roy
    Koyoshi Shindo
    Kyrollos Yanny
    Yichen Wu
    Hatice Ceylan Koydemir
    Yair Rivenson
    Aydogan Ozcan
    Light: Science & Applications, 7
  • [6] High-throughput, low-loss, low-cost, and label-free cell separation using electrophysiology-activated cell enrichment
    Faraghat, Shabnam A.
    Hoettges, Kai F.
    Steinbach, Max K.
    van der Veen, Daan R.
    Brackenbury, William J.
    Henslee, Erin A.
    Labeed, Fatima H.
    Hughes, Michael P.
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (18) : 4591 - 4596
  • [7] A NOVEL LOW-COST STEREOLITHOGRAPHY PROCESS BASED ON VECTOR SCANNING AND MASK PROJECTION FOR HIGH-ACCURACY, HIGH-SPEED, HIGH-THROUGHPUT AND LARGE-AREA FABRICATION
    Zhou, Chi
    Ye, Hang
    Zhang, Feng
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2014, VOL 1A, 2014,
  • [8] A Novel Low-Cost Stereolithography Process Based on Vector Scanning and Mask Projection for High-Accuracy, High-Speed, High-Throughput, and Large-Area Fabrication
    Zhou, Chi
    Ye, Hang
    Zhang, Feng
    JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2015, 15 (01)
  • [9] Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests
    Cong SHI
    Junxian HE
    Shrinivas PUNDLIK
    Xichuan ZHOU
    Nanjian WU
    Gang LUO
    Science China(Information Sciences), 2023, 66 (05) : 301 - 302
  • [10] Low-cost real-time VLSI system for high-accuracy optical flow estimation using biological motion features and random forests
    Shi, Cong
    He, Junxian
    Pundlik, Shrinivas
    Zhou, Xichuan
    Wu, Nanjian
    Luo, Gang
    SCIENCE CHINA-INFORMATION SCIENCES, 2023, 66 (05)