ReviewAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2013
New methods for quantifying and visualizing information from images of cells: An overview.
Review in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- In Situ Classification of Cell Types in Human Kidney Tissue Using 3D Nuclear Staining.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
New microscopy imaging techniques have enabled the acquisition of cellular and sub-cellular information with unprecedented accuracy and specificity. Fluorescence techniques have enabled labeling of numerous, previously inaccessible, molecules and organelles, while Raman spectrographic techniques, for example, have enabled label free acquisition. Together with the development of high throughput techniques, these technologies now allow for the acquisition of a significant amount of information about cellular processes and have enabled high throughput and high content screening. Beyond image formation and acquisition, computational techniques comprise an important part of the process of obtaining biological understanding from such experiments. Here we review the pros and cons of the main approaches that have been used to extract information from digital images of cells. In addition, we also offer an overview of modern computational techniques that beyond allowing for discrimination between two hypothesis, also allow for modeling, visualization, and understanding of biological phenomena.
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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.