ArticleNano letters2019
Cellogram: On-the-Fly Traction Force Microscopy.
Article in Nano letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- napariTFM: An open-source tool for traction force microscopy and monolayer stress microscopy.PLoS computational biology · 2026Article
- Piezo1-mediated mechano-energetics regulate CAR T cell function.Research square · 2025Article
- An Open-source Python Tool for Traction Force Microscopy on Micropatterned Substrates.Bio-protocol · 2025Article
- Aging-associated decline in vascular smooth muscle cell mechanosensation is mediated by Piezo1 channel.Aging cell · 2024Article
- Unlocking cardiac motion: assessing software and machine learning for single-cell and cardioid kinematic insights.Scientific reports · 2024Article
- 4D Force Detection of Cell Adhesion and Contractility.Nano letters · 2023Article
- PIP4K2B is mechanoresponsive and controls heterochromatin-driven nuclear softening through UHRF1.Nature communications · 2023Article
- Focal adhesion-mediated cell anchoring and migration: from in vitro to in vivo.Development (Cambridge, England) · 2022Article
- The transcription factor PREP1(PKNOX1) regulates nuclear stiffness, the expression of LINC complex proteins and mechanotransduction.Communications biology · 2022Article
- Microscale investigation on interfacial slippage and detachment of ice from soft materials.Materials horizons · 2022Article
- Rear traction forces drive adherent tissue migration in vivo.Nature cell biology · 2022Article
- Microskeletal stiffness promotes aortic aneurysm by sustaining pathological vascular smooth muscle cell mechanosensation via Piezo1.Nature communications · 2022Article
- Quantifying cell-generated forces: Poisson's ratio matters.Communications physics · 2021Article
- The cellular mechanobiology of aging: from biology to mechanics.Annals of the New York Academy of Sciences · 2021Review
- Fluctuation-Based Super-Resolution Traction Force Microscopy.Nano letters · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Traction force microscopy (TFM) derives maps of cell-generated forces, typically in the nanonewton range, transmitted to the extracellular environment upon actuation of complex biological processes. In traditional approaches, force rendering requires a terminal, time-consuming step of cell deadhesion to obtain a reference image. A conceptually opposite approach is provided by reference-free methods, opening to the on-the-fly generation of force maps from an ongoing experiment. This requires an image processing algorithm keeping the pace of the biological phenomena under investigation. Here, we introduce an integrated software pipeline rendering force maps from single reference-free TFM images seconds to minutes after their acquisition. The algorithm tackles image processing, reference image estimation, and finite element analysis as a single problem, yielding a robust and fully automatic solution. The method's capabilities are demonstrated in two applications. First, the mechanical annihilation of cancer cells is monitored as a function of rising environmental temperature, setting a population threshold at 45 °C. Second, the fast temporal correlation of forces produced across individual cells is used to map physically connected adhesion points, yielding typical lengths that vary as a function of the cell cycle phase.
Indexed as
Identifiers
What OpenQuestion holds
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.