ReviewThe Journal of cell biology2003
Computational imaging in cell biology.
Review in The Journal of cell biology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 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
32 citing papers in PubMed.
- Inverse Design for Robust Inference in Integrated Computational Spectrometry.Nanophotonics (Berlin, Germany) · 2026Article
- Physical twinning for joint encoding-decoding optimization in computational optics: a review.Light, science & applications · 2025Review
- Scale selection and machine learning based cell segmentation and tracking in time lapse microscopy.Scientific reports · 2025Article
- Live Cell Imaging of Bone Cell and Organ Cultures.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Review
- Characterizing morphological alterations in blood related disorders through Atomic Force Microscopy.Nanotheranostics · 2024Review
- Collagen Dynamics During the Process of Osteocyte Embedding and Mineralization.Frontiers in cell and developmental biology · 2019Article
- Impedance biosensor for real-time monitoring and prediction of thrombotic individual profile in flowing blood.PloS one · 2017Article
- Joint level-set and spatio-temporal motion detection for cell segmentation.BMC medical genomics · 2016Article
- Article
- Characterization of macrolesions induced by myocardial cavitation-enabled therapy.IEEE transactions on bio-medical engineering · 2015Article
- Computational imaging, sensing and diagnostics for global health applications.Current opinion in biotechnology · 2014Review
- 3D time series analysis of cell shape using Laplacian approaches.BMC bioinformatics · 2013Article
- Quantitative measurement of protein relocalization in live cells.Biophysical journal · 2013Article
- A novel application of motion analysis for detecting stress responses in embryos at different stages of development.BMC bioinformatics · 2013Article
- Three-dimensional distribution of vessels, passage cells and lateral roots along the root axis of winter wheat (Triticum aestivum).Annals of botany · 2011Article
- Computational image analysis of cellular dynamics: a case study based on particle tracking.Cold Spring Harbor protocols · 2009Article
- Time lapse imaging techniques for comparison of mineralization dynamics in primary murine osteoblasts and the late osteoblast/early osteocyte-like cell line MLO-A5.Cells, tissues, organs · 2009Article
- A review of imaging techniques for systems biology.BMC systems biology · 2008Review
- Student learning of early embryonic development via the utilization of research resources from the nematode Caenorhabditis elegans.CBE life sciences education · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microscopy of cells has changed dramatically since its early days in the mid-seventeenth century. Image analysis has concurrently evolved from measurements of hand drawings and still photographs to computational methods that (semi-) automatically quantify objects, distances, concentrations, and velocities of cells and subcellular structures. Today's imaging technologies generate a wealth of data that requires visualization and multi-dimensional and quantitative image analysis as prerequisites to turning qualitative data into quantitative values. Such quantitative data provide the basis for mathematical modeling of protein kinetics and biochemical signaling networks that, in turn, open the way toward a quantitative view of cell biology. Here, we will review technologies for analyzing and reconstructing dynamic structures and processes in the living cell. We will present live-cell studies that would have been impossible without computational imaging. These applications illustrate the potential of computational imaging to enhance our knowledge of the dynamics of cellular structures and processes.
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.