ArticleLangmuir : the ACS journal of surfaces and colloids2012
Mapping single-cell-substrate interactions by surface plasmon resonance microscopy.
Article in Langmuir : the ACS journal of surfaces and colloids, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
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The trial behind it
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Who cites it
25 citing papers in PubMed.
- An integrated nanophotonic SPRM microsystem for real-time, label-free quantification of single-cell adhesion dynamics.Microsystems & nanoengineering · 2026Article
- Meta-surface plasmon resonance microscopy for sensitive, high-throughput, and long-term label-free analysis of cell adhesion dynamics.Journal of nanobiotechnology · 2025Article
- Quantitative, Label-Free Mapping of Cell Force Dynamics.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Na-Ag Ion-Exchanged Glass Substrates for Plasmon-Enhanced Fluorescence Imaging of Neutrophils.Sensors (Basel, Switzerland) · 2025Article
- In Situ and Label-Free Quantification of Membrane Protein-Ligand Interactions Using Optical Imaging Techniques: A Review.Biosensors · 2024Review
- Dielectric Surface-Based Biosensors for Enhanced Detection of Biomolecular Interactions: Advances and Applications.Biosensors · 2024Review
- Deep Learning Approach for the Localization and Analysis of Surface Plasmon Scattering.Sensors (Basel, Switzerland) · 2023Article
- Label-free and dynamic monitoring of cell evolutions using wavelength-multiplexing surface plasmon resonance holographic microscopy.Biomedical optics express · 2023Article
- Plasmonic Biosensing for Label-Free Detection of Two Hallmarks of Cancer Cells: Cell-Matrix Interaction and Cell Division.Biosensors · 2022Article
- A Cell Culture Chip with Transparent, Micropillar-Decorated Bottom for Live Cell Imaging and Screening of Breast Cancer Cells.Micromachines · 2022Article
- A label-free optical system with a nanohole array biosensor for discriminating live single cancer cells from normal cells.Nanophotonics (Berlin, Germany) · 2022Article
- Label-Free Imaging of Nanoscale Displacements and Free-Energy Profiles of Focal Adhesions with Plasmonic Scattering Microscopy.ACS sensors · 2021Article
- Scattering-based Light Microscopy: From Metal Nanoparticles to Single Proteins.Chemical reviews · 2021Review
- Optical Electrophysiology: Toward the Goal of Label-Free Voltage Imaging.Journal of the American Chemical Society · 2021Article
- Underlying Subwavelength Aperture Architecture Drives the Optical Properties of Microcavity Surface Plasmon Resonance Sensors.Sensors (Basel, Switzerland) · 2020Article
- Surface Plasmon Resonance Microscopy: From Single-Molecule Sensing to Single-Cell Imaging.Angewandte Chemie (International ed. in English) · 2020Review
- Biosensors for Studies on Adhesion-Mediated Cellular Responses to Their Microenvironment.Frontiers in bioengineering and biotechnology · 2020Review
- Influence of Fixation and Permeabilization on the Mass Density of Single Cells: A Surface Plasmon Resonance Imaging Study.Frontiers in chemistry · 2019Article
- Single-Cell Analysis Using Hyperspectral Imaging Modalities.Journal of biomechanical engineering · 2018Review
- Label-Free Imaging of Histamine Mediated G Protein-Coupled Receptors Activation in Live Cells.Analytical chemistry · 2016Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
We report the imaging of the cell-substrate adhesion of a single cell with subcellular spatial resolution. Osmotic pressure was introduced to provide a controllable mechanical stimulation to the cell attached to a substrate, and high-resolution surface plasmon resonance microscopy was used to map the response of the cell, from which local cell-substrate adhesion was determined. In addition to high spatial resolution, the approach is noninvasive and fast and allows for the continuous mapping of cell-substrate interactions and single-cell movements.
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Registered trials
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 OpenQuestion graph.