Single-Cell Stretching in Viscoelastic Fluids with Electronically Triggered Imaging for Cellular Mechanical Phenotyping DOI
Minhui Liang, Dahou Yang, Yinning Zhou

et al.

Analytical Chemistry, Journal Year: 2021, Volume and Issue: 93(10), P. 4567 - 4575

Published: March 4, 2021

Cellular mechanical phenotypes in connection to physiological and pathological states of cells have become a promising intrinsic biomarker for label-free cell analysis various biological research medical diagnostics. In this work, we present microfluidic system capable high-throughput cellular phenotyping based on rapid single-cell hydrodynamic stretching continuous viscoelastic fluid flow. Randomly introduced single are first aligned into streamline fluids before being guided flow splitting junction consistent stretching. The arrival individual prior the can be detected by an electrical sensing unit, which produces triggering signal activate high-speed camera on-demand imaging motion deformation through junction. phenotypes, including size deformability, extracted from these captured images. We evaluated sensitivity developed measuring synthesized hydrogel microbeads with known Young's modulus. With system, revealed statistical difference deformability microfilament disrupted, normal, fixed NIH 3T3 fibroblast cells. Furthermore, implementation machine-learning-based classification MCF-10A MDA-MB-231 mixtures, our has achieved comparable accuracy (0.9:1, 5.03:1) respect fluorescence-based cytometry results (0.97:1, 5.33:1). presented technique will open new avenues diverse biomedical applications.

Language: Английский

Atomic Force Microscopy-Based Force Spectroscopy and Multiparametric Imaging of Biomolecular and Cellular Systems DOI
Daniel J. Müller, Andra C. Dumitru, Cristina Lo Giudice

et al.

Chemical Reviews, Journal Year: 2020, Volume and Issue: 121(19), P. 11701 - 11725

Published: Nov. 9, 2020

During the last three decades, a series of key technological improvements turned atomic force microscopy (AFM) into nanoscopic laboratory to directly observe and chemically characterize molecular cell biological systems under physiological conditions. Here, we review that have established AFM as an analytical tool quantify native from micro- nanoscale. Native include living tissues, cells, cellular components such single or complexed proteins, nucleic acids, lipids, sugars. We showcase procedures customize chemical laboratories by functionalizing tips outline advantages limitations in applying different modes image, sense, manipulate biosystems at (sub)nanometer spatial millisecond temporal resolution. further discuss theoretical approaches extract kinetic thermodynamic parameters specific biomolecular interactions detected for bonds extend discussion multiple bonds. Finally, highlight potential combining with optical spectroscopy address full complexity tackle fundamental challenges life sciences.

Language: Английский

Citations

179
Mechanical Adaptability of Tumor Cells in Metastasis DOI Creative Commons
Valentin Gensbittel, Martin Kräter, Sébastien Harlepp

et al.

Developmental Cell, Journal Year: 2020, Volume and Issue: 56(2), P. 164 - 179

Published: Nov. 24, 2020

Language: Английский

Citations

166
Single-cell microfluidic impedance cytometry: from raw signals to cell phenotypes using data analytics DOI
Carlos Honrado, Paolo Bisegna, Nathan S. Swami

et al.

Lab on a Chip, Journal Year: 2020, Volume and Issue: 21(1), P. 22 - 54

Published: Nov. 23, 2020

The biophysical analysis of single-cells by microfluidic impedance cytometry is emerging as a label-free and high-throughput means to stratify the heterogeneity cellular systems based on their electrophysiology. Emerging applications range from fundamental life-science drug assessment research point-of-care diagnostics precision medicine. Recently, novel chip designs data analytic strategies are laying foundation for multiparametric cell characterization subpopulation distinction, which essential understand biological function, follow disease progression monitor behaviour in microsystems. In this tutorial review, we present comparative survey approaches elucidate subcellular features data, covering related subjects device design, analytics (i.e., signal processing, dielectric modelling, population clustering), phenotyping applications. We give special emphasis exciting recent developments technique (timeframe 2017-2020) provide our perspective future challenges directions. Its synergistic application with separation, sensor science machine learning can form an toolkit quantification isolation subpopulations heterogeneous biosystems.

Language: Английский

Citations

157
The extracellular matrix viscoelasticity as a regulator of cell and tissue dynamics DOI

Alberto Elósegui-Artola

Current Opinion in Cell Biology, Journal Year: 2021, Volume and Issue: 72, P. 10 - 18

Published: May 13, 2021

Language: Английский

Citations

127
Label-free microfluidic cell sorting and detection for rapid blood analysis DOI Creative Commons
Nan Lü, Hui Min Tay, Chayakorn Petchakup

et al.

Lab on a Chip, Journal Year: 2023, Volume and Issue: 23(5), P. 1226 - 1257

Published: Jan. 1, 2023

Blood tests are considered as standard clinical procedures to screen for markers of diseases and health conditions. However, the complex cellular background (>99.9% RBCs) biomolecular composition often pose significant technical challenges accurate blood analysis. An emerging approach point-of-care diagnostics is utilizing "label-free" microfluidic technologies that rely on intrinsic cell properties fractionation disease detection without any antibody binding. A growing body evidence has also reported dysfunction their biophysical phenotypes complementary hematoanalyzer analysis (complete count) can provide a more comprehensive profiling. In this review, we will summarize recent advances in label-free separation different components including circulating tumor cells, leukocytes, platelets nanoscale extracellular vesicles. Label-free single morphology, spectrochemical properties, dielectric parameters characteristics novel blood-based biomarkers be presented. Next, highlight research efforts combine microfluidics with machine learning approaches enhance sensitivity specificity studies, well innovative solutions which capable fully integrated sorting Lastly, envisage current future outlook platforms high throughput multi-dimensional identify non-traditional diagnostics.

Language: Английский

Citations

76
Rapid single-cell physical phenotyping of mechanically dissociated tissue biopsies DOI Creative Commons
Despina Soteriou, Markéta Kubánková,

Christine Schweitzer

et al.

Nature Biomedical Engineering, Journal Year: 2023, Volume and Issue: 7(11), P. 1392 - 1403

Published: April 6, 2023

During surgery, rapid and accurate histopathological diagnosis is essential for clinical decision making. Yet the prevalent method of intra-operative consultation pathology intensive in time, labour costs, requires expertise trained pathologists. Here we show that biopsy samples can be analysed within 30 min by sequentially assessing physical phenotypes singularized suspended cells dissociated from tissues. The diagnostic combines enzyme-free mechanical dissociation tissues, real-time deformability cytometry at rates 100-1,000 s-1 data analysis unsupervised dimensionality reduction logistic regression. Physical phenotype parameters extracted brightfield images single distinguished cell subpopulations various enhancing or even substituting measurements molecular markers. We used to quantify degree colon inflammation accurately discriminate healthy tumorous tissue mouse human colons. This fast label-free approach may aid detection pathological changes solid biopsies.

Language: Английский

Citations

45
Brillouin microscopy DOI
Irina V. Kabakova, Jitao Zhang, Yuchen Xiang

et al.

Nature Reviews Methods Primers, Journal Year: 2024, Volume and Issue: 4(1)

Published: Feb. 1, 2024

Language: Английский

Citations

24
Single-Cell Mechanics: Structural Determinants and Functional Relevance DOI
Marta Urbanska, Jochen Guck

Annual Review of Biophysics, Journal Year: 2024, Volume and Issue: 53(1), P. 367 - 395

Published: Feb. 21, 2024

The mechanical phenotype of a cell determines its ability to deform under force and is therefore relevant cellular functions that require changes in shape, such as migration or circulation through the microvasculature. On practical level, can be used global readout cell's functional state, marker for disease diagnostics, an input tissue modeling. We focus our review on current knowledge structural components contribute determination properties highlight physiological processes which cells critical relevance. ongoing efforts understand how efficiently measure control will define progress field drive phenotyping toward clinical applications.

Language: Английский

Citations

19
Imaging flow cytometry with a real-time throughput beyond 1,000,000 events per second DOI Creative Commons

Jiehua Zhou,

Liye Mei, Mingjie Yu

et al.

Light Science & Applications, Journal Year: 2025, Volume and Issue: 14(1)

Published: Feb. 10, 2025

Abstract Imaging flow cytometry (IFC) combines the imaging capabilities of microscopy with high throughput cytometry, offering a promising solution for high-precision and high-throughput cell analysis in fields such as biomedicine, green energy, environmental monitoring. However, due to limitations framerate real-time data processing, existing IFC systems has been restricted approximately 1000-10,000 events per second (eps), which is insufficient large-scale analysis. In this work, we demonstrate exceeding 1,000,000 eps by integrating optical time-stretch (OTS) imaging, microfluidic-based manipulation, online image processing. Cells flowing at speeds up 15 m/s are clearly imaged spatial resolution 780 nm, images each individual captured, stored, analyzed. The performance our system validated through identification malignancies clinical colorectal samples. This work sets new record believe it potential revolutionize enabling highly efficient, accurate, intelligent measurement.

Language: Английский

Citations

2
Viscoelastic properties of biopolymer hydrogels determined by Brillouin spectroscopy: A probe of tissue micromechanics DOI Creative Commons
Michelle Bailey, Martina Alunni Cardinali, Noemi Correa

et al.

Science Advances, Journal Year: 2020, Volume and Issue: 6(44)

Published: Oct. 30, 2020

Gelatin hydrogels cover a wide range of microenvironments that are relevant for bioapplications Brillouin elastography.

Language: Английский

Citations

82