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Updated: Jun 4, 2026

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

Structural, Compositional, and Dielectric State Profiling in Label-Free Single-Cell Monitoring.

Changi Baek¹, Youngho Song¹, Seongcheol Park¹

¹School of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.

|June 3, 2026

Summary

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This summary is machine-generated.

Label-free cell monitoring using intrinsic physical signals overcomes limitations of traditional methods. This review organizes label-free techniques, enabling precise, longitudinal single-cell phenotyping for diverse applications.

Area of Science:

Biophysics
Cell Biology
Analytical Chemistry

Background:

Cellular functional states are crucial for drug response, disease, and manufacturing.
Label-based measurements face limitations like photobleaching and phototoxicity.
Label-free monitoring using intrinsic physical signals offers a promising alternative.

Purpose of the Study:

To review and organize label-free single-cell monitoring modalities.
To establish a physics-grounded framework linking intrinsic signals to cellular phenotypes.
To evaluate current platforms and identify future requirements for scalable phenotyping.

Main Methods:

Categorization of label-free monitoring into imaging-based, vibrational spectroscopy-based, and electrical sensing-based modalities.

Keywords:

imaging cytometry impedance cytometry label‐free single‐cell monitoring vibrational spectroscopy

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Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Published on: June 21, 2019

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Last Updated: Jun 4, 2026

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level

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Published on: April 19, 2019

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Integrated Cell Manipulation Platform Coupled with the Single-probe for Mass Spectrometry Analysis of Drugs and Metabolites in Single Suspension Cells

Published on: June 21, 2019

Analysis of measurement principles, drift sources, and feature spaces for each modality.

Evaluation of representative platforms based on design, feature definition, performance, and validation.

Main Results:

Each modality is linked to distinct intrinsic state variables (structural, molecular, dielectric).
Dominant analytical constraints vary across modalities, suggesting integrative approaches.
Shared requirements for calibration, standardization, and multimodal integration are identified.

Conclusions:

Integrative architectures combining complementary modalities can resolve ambiguities.
Future advancements require hardware miniaturization, edge inference, and AI for molecular attribution.
Scalable quantitative single-cell phenotyping can be achieved through these advancements.