ArticleScientific reports2020
Single-cell adhesion force kinetics of cell populations from combined label-free optical biosensor and robotic fluidic force microscopy.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed.
- Organization and Dynamics of Focal Adhesions: Light Diffraction Analysis of Cellular Adhesion on Nanopatterned Surfaces.ACS applied materials & interfaces · 2026Article
- Versatile Image-Assisted Cell Sorting by Selective Trapping with Spatiotemporal Multiparameter Targeting.ACS sensors · 2025Article
- Label-Free Single-Cell Cancer Classification from the Spatial Distribution of Adhesion Contact Kinetics.ACS sensors · 2024Article
- Optical tweezers in biomedical research - progress and techniques.Journal of medicine and life · 2024Review
- Insights into spheroids formation in cellulose nanofibrils and Matrigel hydrogels using AFM-based techniques.Materials today. Bio · 2024Article
- Optical sensor reveals the hidden influence of cell dissociation on adhesion measurements.Scientific reports · 2024Article
- Single-cell classification based on label-free high-resolution optical data of cell adhesion kinetics.Scientific reports · 2024Article
- Label-free biomolecular and cellular methods in small molecule epigallocatechin-gallate research.Heliyon · 2024Review
- Hydrodynamic function and spring constant calibration of FluidFM micropipette cantilevers.Microsystems & nanoengineering · 2024Article
- Nanoporous electroporation needle for localized intracellular delivery in deep tissues.Bioengineering & translational medicine · 2023Article
- Bladder Cancer Cells Interaction with Lectin-Coated Surfaces under Static and Flow Conditions.International journal of molecular sciences · 2023Article
- Recent advances in single-cell subcellular sampling.Chemical communications (Cambridge, England) · 2023Review
- Glycocalyx Components Detune the Cellular Uptake of Gold Nanoparticles in a Size- and Charge-Dependent Manner.ACS applied bio materials · 2023Article
- Review
- Single-cell temporal transcriptomics from tiny cytoplasmic biopsies.Cell reports methods · 2022Article
- Extending applications of AFM to fluidic AFM in single living cell studies.Journal of cellular physiology · 2022Review
- Simple and automatic monitoring of cancer cell invasion into an epithelial monolayer using label-free holographic microscopy.Scientific reports · 2022Article
- Single-cell adhesivity distribution of glycocalyx digested cancer cells from high spatial resolution label-free biosensor measurements.Matrix biology plus · 2022Article
- Population distributions of single-cell adhesion parameters during the cell cycle from high-throughput robotic fluidic force microscopy.Scientific reports · 2022Article
- Parallelized label-free monitoring of cell adhesion on extracellular matrix proteins measured by single colour reflectometry.Analytical and bioanalytical chemistry · 2022Article
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8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-cell adhesion force plays a crucial role in biological sciences, however its in-depth investigation is hindered by the extremely low throughput and the lack of temporal resolution of present techniques. While atomic force microcopy (AFM) based methods are capable of directly measuring the detachment force values between individual cells and a substrate, their throughput is limited to few cells per day, and cannot provide the kinetic evaluation of the adhesion force over the timescale of several hours. In this study a high spatial and temporal resolution resonant waveguide grating based label-free optical biosensor was combined with robotic fluidic force microscopy to monitor the adhesion of living cancer cells. In contrast to traditional fluidic force microscopy methods with a manipulation range in the order of 300-400 micrometers, the robotic device employed here can address single cells over mm-cm scale areas. This feature significantly increased measurement throughput, and opened the way to combine the technology with the employed microplate-based, large area biosensor. After calibrating the biosensor signals with the direct force measuring technology on 30 individual cells, the kinetic evaluation of the adhesion force and energy of large cell populations was performed for the first time. We concluded that the distribution of the single-cell adhesion force and energy can be fitted by log-normal functions as cells are spreading on the surface and revealed the dynamic changes in these distributions. The present methodology opens the way for the quantitative assessment of the kinetics of single-cell adhesion force and energy with an unprecedented throughput and time resolution, in a completely non-invasive manner.
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