ArticleNature methods2020
Isolating live cells after high-throughput, long-term, time-lapse microscopy.
Article in Nature methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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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.
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Who cites it
34 citing papers in PubMed.
- Fast, StreamlinedChemical & biomedical imaging · 2026Article
- CAMPER: mechanistic artificial intelligence for designing peptides that target MRSA persisters.Nature communications · 2026Article
- LFC-Lab on a chip · 2026Article
- Intracellularly coupled oscillators for synthetic biology.Nature communications · 2025Review
- Mechanisms and Applications of Gastrointestinal Microbiota-Metabolite Interactions in Ruminants: A Review.Microorganisms · 2025Review
- Article
- TrackRefiner a tool for refinement of bacillus cell tracking data.NPJ systems biology and applications · 2025Article
- Essentialome-Wide Multigenerational Imaging Reveals Mechanistic Origins of Cell Growth Laws.bioRxiv : the preprint server for biology · 2025Article
- AI-powered high-throughput digital colony picker platform for sorting microbial strains by multi-modal phenotypes.Nature communications · 2025Article
- Engineering next-generation microfluidic technologies for single-cell phenomics.Nature genetics · 2025Review
- Environmental and molecular noise buffering by the cyanobacterial clock in individual cells.Nature communications · 2025Article
- Optimisation strategies for directed evolution without sequencing.PLoS computational biology · 2024Article
- Single-Cell Microfluidics: A Primer for Microbiologists.The journal of physical chemistry. B · 2024Review
- Synthetic gene circuit evolution: Insights and opportunities at the mid-scale.Cell chemical biology · 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
- The dynamic-process characterization and prediction of synthetic gene circuits by dynamic delay model.iScience · 2024Article
- Tools and methods for high-throughput single-cell imaging with the mother machine.bioRxiv : the preprint server for biology · 2024Article
- Emerging tools for uncovering genetic and transcriptomic heterogeneities in bacteria.Biophysical reviews · 2024Review
- Advances in Single-Cell Techniques for Linking Phenotypes to Genotypes.Cancer heterogeneity and plasticity · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Single-cell genetic screens can be incredibly powerful, but current high-throughput platforms do not track dynamic processes, and even for non-dynamic properties they struggle to separate mutants of interest from phenotypic outliers of the wild-type population. Here we introduce SIFT, single-cell isolation following time-lapse imaging, to address these limitations. After imaging and tracking individual bacteria for tens of consecutive generations under tightly controlled growth conditions, cells of interest are isolated and propagated for downstream analysis, free of contamination and without genetic or physiological perturbations. This platform can characterize tens of thousands of cell lineages per day, making it possible to accurately screen complex phenotypes without the need for barcoding or genetic modifications. We applied SIFT to identify a set of ultraprecise synthetic gene oscillators, with circuit variants spanning a 30-fold range of average periods. This revealed novel design principles in synthetic biology and demonstrated the power of SIFT to reliably screen diverse dynamic phenotypes.
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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.