AIMC Topic: Microscopy, Confocal
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Dendritic spine classification using shape and appearance features based on two-photon microscopy.
Journal of neuroscience methods
Dec 18, 2016
BACKGROUND: Neuronal morphology and function are highly coupled. In particular, dendritic spine morphology is strongly governed by the incoming neuronal activity. The first step towards understanding the structure-function relationships is to classif...
Machine learning and computer vision approaches for phenotypic profiling.
The Journal of cell biology
Dec 9, 2016
With recent advances in high-throughput, automated microscopy, there has been an increased demand for effective computational strategies to analyze large-scale, image-based data. To this end, computer vision approaches have been applied to cell segme...
Synergistic effects of proanthocyanidin, tri-calcium phosphate and fluoride on artificial root caries and dentine collagen.
Materials science & engineering. C, Materials for biological applications
Nov 22, 2016
BACKGROUND: Proanthocyanidin has been shown to enhance dentine collagen stability and remineralization of artificial root caries.
Unsupervised delineation of stratum corneum using reflectance confocal microscopy and spectral clustering.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
Aug 12, 2016
BACKGROUND: Measuring the thickness of the stratum corneum (SC) in vivo is often required in pharmacological, dermatological, and cosmetological studies. Reflectance confocal microscopy (RCM) offers a non-invasive imaging-based approach. However, RCM...
Nuquantus: Machine learning software for the characterization and quantification of cell nuclei in complex immunofluorescent tissue images.
Scientific reports
Mar 23, 2016
Determination of fundamental mechanisms of disease often hinges on histopathology visualization and quantitative image analysis. Currently, the analysis of multi-channel fluorescence tissue images is primarily achieved by manual measurements of tissu...
Detection of Dendritic Spines Using Wavelet-Based Conditional Symmetric Analysis and Regularized Morphological Shared-Weight Neural Networks.
Computational and mathematical methods in medicine
Nov 24, 2015
Identification and detection of dendritic spines in neuron images are of high interest in diagnosis and treatment of neurological and psychiatric disorders (e.g., Alzheimer's disease, Parkinson's diseases, and autism). In this paper, we have proposed...
Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.
The Journal of comparative neurology
Jul 7, 2015
Generation of the primate cortex is characterized by the diversity of cortical precursors and the complexity of their lineage relationships. Recent studies have reported miscellaneous precursor types based on observer classification of cell biology f...
Brain
Animals
Image Processing, Computer-Assisted
Immunohistochemistry
Green Fluorescent Proteins
Cell Lineage
Genetic Vectors
Tissue Culture Techniques
Macaca fascicularis
Hydrozoa
Stem Cell Niche
Stem Cells
Markov Chains
Video Recording
Pattern Recognition, Automated
Microscopy, Confocal
Cluster Analysis
Unsupervised Machine Learning
Quantification of whey in fluid milk using confocal Raman microscopy and artificial neural network.
Journal of dairy science
Mar 28, 2015
In this work, we assessed the use of confocal Raman microscopy and artificial neural network as a practical method to assess and quantify adulteration of fluid milk by addition of whey. Milk samples with added whey (from 0 to 100%) were prepared, sim...
Domain-specific AI segmentation of IMPDH2 rod/ring structures in mouse embryonic stem cells.
BMC biology
May 12, 2025
BACKGROUND: Inosine monophosphate dehydrogenase 2 (IMPDH2) is an enzyme that catalyses the rate-limiting step of guanine nucleotides. In mouse embryonic stem cells (ESCs), IMPDH2 forms large multi-protein complexes known as rod-ring (RR) structures t...
Artificial intelligence-aided optical biopsy improves the diagnosis of esophageal squamous neoplasm.
World journal of gastroenterology
Apr 7, 2025
BACKGROUND: Early detection of esophageal squamous neoplasms (ESN) is essential for improving patient prognosis. Optical diagnosis of ESN remains challenging. Probe-based confocal laser endomicroscopy (pCLE) enables accurate histological observation...
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