AIMC Topic: Staining and Labeling

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MIAQuant, a novel system for automatic segmentation, measurement, and localization comparison of different biomarkers from serialized histological slices.

European journal of histochemistry : EJH Nov 2, 2017
In the clinical practice, automatic image analysis methods quickly quantizing histological results by objective and replicable methods are getting more and more necessary and widespread. Despite several commercial software products are available for ...
Staining and Labeling Humans Automation Chromogenic Compounds Software Biomarkers
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Image based Machine Learning for identification of macrophage subsets.

Scientific reports Jun 14, 2017
Macrophages play a crucial rule in orchestrating immune responses against pathogens and foreign materials. Macrophages have remarkable plasticity in response to environmental cues and are able to acquire a spectrum of activation status, best exemplif...
Cell Size Machine Learning Macrophages Image Processing, Computer-Assisted Staining and Labeling Microscopy, Fluorescence Cytological Techniques Cell Shape Humans
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A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology.

IEEE transactions on medical imaging Mar 6, 2017
Nuclear segmentation in digital microscopic tissue images can enable extraction of high-quality features for nuclear morphometrics and other analysis in computational pathology. Conventional image processing techniques, such as Otsu thresholding and ...
Image Processing, Computer-Assisted Humans Staining and Labeling Machine Learning Algorithms Cell Nucleus
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Anticancer activity of biologically synthesized silver and gold nanoparticles on mouse myoblast cancer cells and their toxicity against embryonic zebrafish.

Materials science & engineering. C, Materials for biological applications Dec 23, 2016
The aim of this study was to evaluate the anticancer activity of bioinspired silver nanoparticles (AgNPs) and gold nanoparticles (AuNPs) against mouse myoblast cancer cells (CC). Both AgNPs and AuNPs were biologically synthesized using Spinacia olera...
Spinacia oleracea Silver Zebrafish Caspases Myoblasts Plant Leaves Antineoplastic Agents Gold Staining and Labeling Cell Line, Tumor Metal Nanoparticles Plant Extracts Animals Acridine Orange Mice Apoptosis Toxicity Tests Cell Shape Cell Survival X-Ray Diffraction Ethidium Embryo, Nonmammalian Photoacoustic Techniques
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Use of quantum dot beads-labeled monoclonal antibody to improve the sensitivity of a quantitative and simultaneous immunochromatographic assay for neuron specific enolase and carcinoembryonic antigen.

Talanta Dec 5, 2016
Detection of multiplex tumor markers was of great importance for cancer diagnosis. Immunochromatographic test strip (ICTS) was the most frequently-used point-of-care detection means. Herein, a convenient and fast method for simultaneous quantitative ...
Antibodies, Monoclonal Quantum Dots Limit of Detection Carcinoembryonic Antigen Chromatography, Affinity Humans Point-of-Care Systems Time Factors Staining and Labeling Phosphopyruvate Hydratase
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An Intelligent Decision Support System for Leukaemia Diagnosis using Microscopic Blood Images.

Scientific reports Oct 9, 2015
This research proposes an intelligent decision support system for acute lymphoblastic leukaemia diagnosis from microscopic blood images. A novel clustering algorithm with stimulating discriminant measures (SDM) of both within- and between-cluster sca...
Sensitivity and Specificity Diagnosis, Computer-Assisted Staining and Labeling Support Vector Machine Algorithms Databases, Factual Reproducibility of Results Microscopy Cell Nucleus Cytoplasm Leukemia Cluster Analysis Discriminant Analysis Leukocytes Humans
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Robot-Guided Atomic Force Microscopy for Mechano-Visual Phenotyping of Cancer Specimens.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada Sep 7, 2015
Atomic force microscopy (AFM) and other forms of scanning probe microscopy have been successfully used to assess biomechanical and bioelectrical characteristics of individual cells. When extending such approaches to heterogeneous tissue, there exists...
Female Breast Neoplasms Staining and Labeling Robotics Microscopy, Atomic Force Microtomy Humans
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An unsupervised feature learning framework for basal cell carcinoma image analysis.

Artificial intelligence in medicine Apr 23, 2015
OBJECTIVE: The paper addresses the problem of automatic detection of basal cell carcinoma (BCC) in histopathology images. In particular, it proposes a framework to both, learn the image representation in an unsupervised way and visualize discriminati...
Biopsy Image Interpretation, Computer-Assisted Pathology, Clinical Predictive Value of Tests Area Under Curve Skin Neoplasms Discriminant Analysis Carcinoma, Basal Cell Reproducibility of Results ROC Curve Decision Support Systems, Clinical Staining and Labeling Humans Unsupervised Machine Learning Decision Support Techniques Automation, Laboratory
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A SERS-Assisted 3D Barcode Chip for High-Throughput Biosensing.

Small (Weinheim an der Bergstrasse, Germany) Feb 16, 2015
A surface enhanced Raman scattering (SERS)-assisted 3D barcode chip has been developed for high-throughput biosensing. The 3D barcode is realized through joint 2D spatial encoding with the Raman spectroscopic encoding, which stores the SERS fingerpri...
Staining and Labeling Robotics Immunoassay Equipment Failure Analysis Equipment Design Surface Plasmon Resonance Microarray Analysis
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Automated annotation of virtual dual stains to generate convolutional neural network for detecting cancer metastases in H&E-stained lymph nodes.

Pathology, research and practice Jun 1, 2025
CONTEXT: Staging cancer patients is crucial and requires analyzing all removed lymph nodes microscopically for metastasis. For this pivotal task, convolutional neural networks (CNN) can reduce workload and improve diagnostic accuracy.
Female Aged Colorectal Neoplasms Male Humans Neural Networks, Computer Head and Neck Neoplasms Lymphatic Metastasis Immunohistochemistry Hematoxylin Middle Aged Convolutional Neural Networks Staining and Labeling Lymph Nodes
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