Open Tools for Storage and Management of Quantitative Image Data

Moore, Josh; Allan, Chris; Burel, Jean‐Marie; Loranger, Brian; MacDonald, Donald; Monk, J.; Swedlow, Jason R.

doi:10.1016/s0091-679x(08)85024-8

Cited by 27 publications

(31 citation statements)

References 8 publications

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“…Even with this information, it may be difficult for the reader to assess whether your system was optimized and operated to obtain the best possible SNR and resolution. Easy open access to raw image files and data used for published quantitative analyses will therefore be critical to the continued growth of the field of quantitative fluorescence microscopy (Moore et al, 2008).…”

Section: Presenting Quantitative Microscopy Measurementsmentioning

confidence: 99%

Accuracy and precision in quantitative fluorescence microscopy

Waters¹

2009

J Exp Med

124

154

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Section: Presenting Quantitative Microscopy Measurementsmentioning

confidence: 99%

Accuracy and precision in quantitative fluorescence microscopy

Waters¹

2009

J Exp Med

124

154

View full text Add to dashboard Cite

“…Along with technological advances in bioimaging, the informatics of bioimaging data sets is an emerging field (Moore et al 2008). In plant cell biology, advanced imaging technologies allow us to visualize organelles and biomolecules and characterize cellular systems based on large-scale data sets of images and movies (Mano et al 2009).…”

Section: Data Integration To Progress Plant Omics Researchmentioning

confidence: 99%

Advances in Omics and Bioinformatics Tools for Systems Analyses of Plant Functions

Mochida

Shinozaki

2011

Plant and Cell Physiology

203

109

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Omics and bioinformatics are essential to understanding the molecular systems that underlie various plant functions. Recent game-changing sequencing technologies have revitalized sequencing approaches in genomics and have produced opportunities for various emerging analytical applications. Driven by technological advances, several new omics layers such as the interactome, epigenome and hormonome have emerged. Furthermore, in several plant species, the development of omics resources has progressed to address particular biological properties of individual species. Integration of knowledge from omics-based research is an emerging issue as researchers seek to identify significance, gain biological insights and promote translational research. From these perspectives, we provide this review of the emerging aspects of plant systems research based on omics and bioinformatics analyses together with their associated resources and technological advances.

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“…Computational approaches are needed to quickly acquire these large heterogeneous datasets, convert them to standard analyzable data models [65], effectively mine the data [66], accurately identify and track objects [67] and provide image visualization [68]. As the cardiac ECM community utilizes more of these advanced imaging approaches, it will be imperative that a computational framework be developed that will not only enable the collection and analysis of these important cell-ECM datasets but also facilitate new discovery such as new computational models and algorithmic approaches to assess ECM organization and cell identification or data-mining with correlative genomic information.…”

Section: Emerging Imaging Innovationmentioning

confidence: 99%

Imaging cardiac extracellular matrices: a blueprint for regeneration

Jung

Squirrell

Lyons

et al. 2012

Trends in Biotechnology

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Once damaged, cardiac tissue does not readily repair and is therefore a primary target of regenerative therapies. One regenerative approach is the development of scaffolds that functionally mimic the cardiac extracellular matrix (ECM) to deliver stem cells or cardiac precursor populations to the heart. Technological advances in micro/nanotechnology, stem cell biology, biomaterials and tissue decellularization have propelled this promising approach forward. Surprisingly, technological advances in optical imaging methods have not been fully utilized in the field of cardiac regeneration. Here, we describe and provide examples to demonstrate how advanced imaging techniques could revolutionize how ECM-mimicking cardiac tissues are informed and evaluated.

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Open Tools for Storage and Management of Quantitative Image Data

Cited by 27 publications

References 8 publications

Accuracy and precision in quantitative fluorescence microscopy

Accuracy and precision in quantitative fluorescence microscopy

Advances in Omics and Bioinformatics Tools for Systems Analyses of Plant Functions

Imaging cardiac extracellular matrices: a blueprint for regeneration

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