New technology for automated biological image acquisition has introduced the need for effective biological image analysis methods. These algorithms are constantly being developed by pattern recognition and machine vision experts, who tailor general computer vision techniques to the specific needs of biological imaging. However, computer scientists do not always have access to biological image datasets that can be used for computer vision research, and biologist collaborators who can assist in defining the biological questions are not always available. Here, we propose a publicly available benchmark suite of biological image datasets that can be used by machine vision experts for developing and evaluating biological image analysis methods. The suite represents a set of practical real-life imaging problems in biology, and offers examples of organelles, cells and tissues, imaged at different magnifications and different contrast techniques. All datasets are available for free download at http://ome.grc.nia.nih.gov/iicbu2008 .
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2562655 | PMC |
| http://dx.doi.org/10.1007/s11517-008-0380-5 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Global trends in surgically based treatment of anal fistula in Crohn's disease: a bibliometric and visualization analysis.
Int J Surg
January 2025
Department of Anorectal Surgery, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Background: Crohn's disease (CD) is a chronic, recurrent gastrointestinal disorder characterized by a complex etiology. Among its perianal complications, anal fistulas represent a challenging comorbidity. With the increase of surgical options, a comprehensive bibliometric analysis was deemed necessary to consolidate the vast array of research in this field.
View Article and Find Full Text PDFrsfMRI-based brain entropy is negatively correlated with gray matter volume and surface area.
Brain Struct Funct
January 2025
Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, 670 W Baltimore St, HSF III, R1173, Baltimore, MD, 21202, USA.
The brain entropy (BEN) reflects the randomness of brain activity and is inversely related to its temporal coherence. In recent years, BEN has been found to be associated with a number of neurocognitive, biological, and sociodemographic variables such as fluid intelligence, age, sex, and education. However, evidence regarding the potential relationship between BEN and brain structure is still lacking.
View Article and Find Full Text PDFRedox Status-Selective Imaging of Iron in Vegetative and Pathogenic Fungal Cells Using Fluorescent Dyes Synthesized Via Simple Chemical Reactions.
Mol Plant Microbe Interact
January 2025
Phytopathologie und Pflanzenschutz, Institut für Agrar- und Ernährungswissenschaften, Martin-Luther-Universität Halle-Wittenberg, Halle (Saale), Germany.
Iron plays a prominent role in various biological processes and is an essential element in almost all organisms, including plant-pathogenic fungi. As a transition element, iron occurs in two redox states, Fe and Fe, the transition between which generates distinct reactive oxygen species (ROS) such as HO, OH anions, and toxic OH· radicals. Thus, the redox status of Fe determines ROS formation in pathogen attack and plant defense and governs the outcome of pathogenic interactions.
View Article and Find Full Text PDFQuantifying Competitive Fitness in Yeast with High-Throughput Fluorescence Microscopy Imaging.
Curr Protoc
January 2025
Department of Microbiology, University of Manitoba, Winnipeg, Manitoba, Canada.
Competitive fitness is a fundamental concept in evolutionary biology that captures the ability of organisms to survive, reproduce, and compete for resources in their environment. Competitive fitness is typically assessed in the lab by growing two or more competitors together and measuring the frequency of each at multiple time points. Traditional microbial competitive fitness assays are labor intensive and involve plating on solid medium and counting colonies.
View Article and Find Full Text PDFFluorofurimazine, a novel NanoLuc substrate, enhances real-time tracking of influenza A virus infection without altering pathogenicity in mice.
Microbiol Spectr
January 2025
Department of Microbiology and Immunology, Frederick P. Whiddon College of Medicine, University of South Alabama, Mobile, Alabama, USA.
Unlabelled: Bioluminescence imaging (BLI) using engineered bioluminescent viruses has emerged as a powerful tool for real-time, noninvasive monitoring of viral replication in living animals. While traditional luciferase-based systems, such as firefly luciferase, have been widely used, the NanoLuc luciferase system offers distinct advantages, including its significantly smaller gene size, increased brightness, and independence from ATP as a cofactor, allowing for extracellular detection. However, the utility of NanoLuc has been limited by its traditional substrate, furimazine, which exhibits poor water solubility and potential cytotoxicity.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!