ArticleScientific reports2017
Quantitative label-free single cell tracking in 3D biomimetic matrices.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- Adaptation of Non-Invasive Cancer Cells to 3D Collagen I Microenvironment Induces Transcriptional Reprogramming Accompanied by a More Complex RNA Landscape.International journal of molecular sciences · 2026Article
- Label-free live cell recognition and tracking for biological discoveries and translational applications.Npj imaging · 2024Review
- IncreasedLife (Basel, Switzerland) · 2023Article
- Automated identification and tracking of cells in Cytometry of Reaction Rate Constant (CRRC).PloS one · 2023Article
- 3D in vitro M2 macrophage model to mimic modulation of tissue repair.NPJ Regenerative medicine · 2021Article
- Fibroblast Differentiation and Matrix Remodeling Impaired under Simulated Microgravity in 3D Cell Culture Model.International journal of molecular sciences · 2021Article
- Review
- Multi-Compartment Lymph-Node-on-a-Chip Enables Measurement of Immune Cell Motility in Response to Drugs.Bioengineering (Basel, Switzerland) · 2021Article
- Collagen Fibril Density Modulates Macrophage Activation and Cellular Functions during Tissue Repair.Bioengineering (Basel, Switzerland) · 2020Article
- Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2019Article
- Article
- Imaging-based tracking of stem-cell responses for 3D bioprinting optimization.Cell transplantationReview
- Noninvasive measurement of cell/colony motion using image analysis methods to evaluate the proliferative capacity of oral keratinocytes as a tool for quality control in regenerative medicine.Journal of tissue engineeringArticle
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Live cell imaging enables an observation of cell behavior over a period of time and is a growing field in modern cell biology. Quantitative analysis of the spatio-temporal dynamics of heterogeneous cell populations in three-dimensional (3D) microenvironments contributes a better understanding of cell-cell and cell-matrix interactions for many biomedical questions of physiological and pathological processes. However, current live cell imaging and analysis techniques are frequently limited by non-physiological 2D settings. Furthermore, they often rely on cell labelling by fluorescent dyes or expression of fluorescent proteins to enhance contrast of cells, which frequently affects cell viability and behavior of cells. In this work, we present a quantitative, label-free 3D single cell tracking technique using standard bright-field microscopy and affordable computational resources for data analysis. We demonstrate the efficacy of the automated method by studying migratory behavior of a large number of primary human macrophages over long time periods of several days in a biomimetic 3D microenvironment. The new technology provides a highly affordable platform for long-term studies of single cell behavior in 3D settings with minimal cell manipulation and can be implemented for various studies regarding cell-matrix interactions, cell-cell interactions as well as drug screening platform for primary and heterogeneous cell populations.
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Registered trials
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