ReviewFrontiers in bioengineering and biotechnology2022
Microfluidics for long-term single-cell time-lapse microscopy: Advances and applications.
Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Emergent Homeostasis and Degeneracy From Multi-Dimensional Attractors.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Cell Population Dynamics Informed by Cell-Cycle Regulation: A Deterministic Modeling Toolkit.Computational and structural biotechnology journal · 2026Review
- Dissecting Bacterial Growth Variants by Cellular Phenotypic Profiling and Backtracing.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Article
- Microfluidics to Meet Antibiotic Resistance: A Growing Research Frontier.Antibiotics (Basel, Switzerland) · 2025Review
- Harnessing droplet microfluidics and morphology-based deep learning for the label-free study of polymicrobial-phage interactions.Communications biology · 2025Article
- Phage provoke growth delays and SOS response induction despite CRISPR-Cas protection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Live Imaging of Fission Yeast Single-Cell Lineages Using a Microfluidic Device.Methods in molecular biology (Clifton, N.J.) · 2025Article
- HoloMoA: a holography and deep learning tool for the identification of antimicrobial mechanisms of action and the detection of novel MoA.Frontiers in microbiology · 2025Article
- Decoding senescence of aging single cells at the nexus of biomaterials, microfluidics, and spatial omics.npj aging · 2024Review
- Molecular and microbiological methods for the identification of nonreplicating Mycobacterium tuberculosis.PLoS pathogens · 2024Review
- Scaling of stochastic growth and division dynamics: A comparative study of individual rod-shaped cells in the Mother Machine and SChemostat platforms.Molecular biology of the cell · 2024Article
- Article
- Tools and methods for high-throughput single-cell imaging with the mother machine.bioRxiv : the preprint server for biology · 2024Article
- Advancements in technology for characterizing the tumor immune microenvironment.International journal of biological sciences · 2024Review
- Fabrication of Microfluidic Devices for Continuously Monitoring Yeast Aging.Bio-protocol · 2023Article
- PyEcoLib: a python library for simulating stochastic cell size dynamics.Physical biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cells are inherently dynamic, whether they are responding to environmental conditions or simply at equilibrium, with biomolecules constantly being made and destroyed. Due to their small volumes, the chemical reactions inside cells are stochastic, such that genetically identical cells display heterogeneous behaviors and gene expression profiles. Studying these dynamic processes is challenging, but the development of microfluidic methods enabling the tracking of individual prokaryotic cells with microscopy over long time periods under controlled growth conditions has led to many discoveries. This review focuses on the recent developments of one such microfluidic device nicknamed the mother machine. We overview the original device design, experimental setup, and challenges associated with this platform. We then describe recent methods for analyzing experiments using automated image segmentation and tracking. We further discuss modifications to the experimental setup that allow for time-varying environmental control, replicating batch culture conditions, cell screening based on their dynamic behaviors, and to accommodate a variety of microbial species. Finally, this review highlights the discoveries enabled by this technology in diverse fields, such as cell-size control, genetic mutations, cellular aging, and synthetic biology.
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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.