ReviewHistochemistry and cell biology2014
Deep Imaging: the next frontier in microscopy.
Review in Histochemistry and cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Sensor extended imaging workflow for creating fit for purpose models in basic and applied cell biology.Communications biology · 2024Review
- Omics and systems view of innate immune pathways.Proteomics · 2023Review
- Regulation of Neural Circuitry under General Anesthesia: New Methods and Findings.Biomolecules · 2022Review
- Article
- Spatially clustered loci with multiple enhancers are frequent targets of HIV-1 integration.Nature communications · 2019Article
- From observing to predicting single-cell structure and function with high-throughput/high-content microscopy.Essays in biochemistry · 2019Review
- Histochemistry and Cell Biology: 61 years and not tired at all.Histochemistry and cell biology · 2019Article
- High-Throughput Imaging for the Discovery of Cellular Mechanisms of Disease.Trends in genetics : TIG · 2017Review
- Imaging and characterizing cells using tomography.Archives of biochemistry and biophysics · 2015Review
- Quantitative detection of rare interphase chromosome breaks and translocations by high-throughput imaging.Genome biology · 2015Article
- The Histochemistry and Cell Biology pandect: the year 2014 in review.Histochemistry and cell biology · 2015Review
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
Abstract
The microscope is the quintessential tool for discovery in cell biology. From its earliest incarnation as a tool to make the unseen visible, microscopes have been at the center of most revolutionizing developments in cell biology, histology and pathology. Major quantum leaps in imaging involved the dramatic improvements in resolution to see increasingly smaller structures, methods to visualize specific molecules inside of cells and tissues, and the ability to peer into living cells to study dynamics of molecules and cellular structures. The latest revolution in microscopy is Deep Imaging-the ability to look at very large numbers of samples by high-throughput microscopy at high spatial and temporal resolution. This approach is rooted in the development of fully automated high-resolution microscopes and the application of advanced computational image analysis and mining methods. Deep Imaging is enabling two novel, powerful approaches in cell biology: the ability to image thousands of samples with high optical precision allows every discernible morphological pattern to be used as a read-out in large-scale imaging-based screens, particularly in conjunction with RNAi-based screening technology; in addition, the capacity to capture large numbers of images, combined with advanced computational image analysis methods, has also opened the door to detect and analyze very rare cellular events. These two applications of Deep Imaging are revolutionizing cell biology.
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.