AIMC Topic: Immunohistochemistry

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The Use of Quantitative Digital Pathology to Measure Proteoglycan and Glycosaminoglycan Expression and Accumulation in Healthy and Diseased Tissues.

The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society Sep 16, 2020
Advances in reagents, methodologies, analytic platforms, and tools have resulted in a dramatic transformation of the research pathology laboratory. These advances have increased our ability to efficiently generate substantial volumes of data on the e...
Image Processing, Computer-Assisted Proteoglycans Glycosaminoglycans In Situ Hybridization, Fluorescence Immunohistochemistry Humans Artificial Intelligence
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Thyroid Incidentalomas: Practice Considerations for Radiologists in the Age of Incidental Findings.

Radiologic clinics of North America Sep 14, 2020
Radiologists very frequently encounter incidental findings related to the thyroid gland. Given increases in imaging use over the past several decades, thyroid incidentalomas are increasingly encountered in clinical practice, and it is important for r...
Positron Emission Tomography Computed Tomography Radiologists Practice Guidelines as Topic Immunohistochemistry Ultrasonography, Doppler Humans Biopsy, Needle Thyroid Nodule Artificial Intelligence Incidental Findings United States Male Magnetic Resonance Imaging Clinical Decision-Making Incidence Diagnostic Imaging Female Thyroid Neoplasms
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Calculation of immune cell proportion from batch tumor gene expression profile based on support vector regression.

Journal of bioinformatics and computational biology Aug 21, 2020
In addition to tumor cells, a large number of immune cells are found in the tumor microenvironment (TME) of cancer patients. Tumor-infiltrating immune cells play an important role in tumor progression and patient outcome. We improved the relative pro...
Humans Algorithms Flow Cytometry Immunohistochemistry Gene Expression Regulation, Neoplastic Databases, Factual Colorectal Neoplasms Neutrophils Tumor Microenvironment Support Vector Machine Gene Expression Profiling CD8-Positive T-Lymphocytes
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Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.

Diagnostic pathology Jul 28, 2020
BACKGROUND: Multiplex immunohistochemistry (mIHC) permits the labeling of six or more distinct cell types within a single histologic tissue section. The classification of each cell type requires detection of the unique colored chromogens localized to...
Image Processing, Computer-Assisted Pancreatic Neoplasms Carcinoma, Pancreatic Ductal Immunohistochemistry Humans Biomarkers, Tumor Deep Learning
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Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.

British journal of cancer Jul 21, 2020
BACKGROUND: Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the current study, we aimed to predict the genetic information of pancreatic tumours in a simple, inexpensive, and non-invasive manner, using cancer imaging...
Carcinoma, Pancreatic Ductal Tumor Suppressor Protein p53 Immunohistochemistry Imaging Genomics Middle Aged B7-H1 Antigen Pancreatic Neoplasms Mutation Female Aged Aged, 80 and over Male Prognosis Retrospective Studies Tomography, X-Ray Computed Humans Machine Learning
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Improving the accuracy of gastrointestinal neuroendocrine tumor grading with deep learning.

Scientific reports Jul 6, 2020
The Ki-67 index is an established prognostic factor in gastrointestinal neuroendocrine tumors (GI-NETs) and defines tumor grade. It is currently estimated by microscopically examining tumor tissue single-immunostained (SS) for Ki-67 and counting the ...
Ki-67 Antigen Observer Variation Immunohistochemistry Synaptophysin Neuroendocrine Tumors Deep Learning Neoplasm Grading Gastrointestinal Neoplasms Humans Reproducibility of Results
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Metabolomics, machine learning and immunohistochemistry to predict succinate dehydrogenase mutational status in phaeochromocytomas and paragangliomas.

The Journal of pathology Jul 1, 2020
Phaeochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumours with a hereditary background in over one-third of patients. Mutations in succinate dehydrogenase (SDH) genes increase the risk for PPGLs and several other tumours. Mutation...
Humans Machine Learning Cohort Studies Head and Neck Neoplasms Succinate Dehydrogenase Paraganglioma Pheochromocytoma Metabolomics Adrenal Gland Neoplasms Mutation Immunohistochemistry
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Hypothesis-free deep survival learning applied to the tumour microenvironment in gastric cancer.

The journal of pathology. Clinical research Jun 27, 2020
The biological complexity reflected in histology images requires advanced approaches for unbiased prognostication. Machine learning and particularly deep learning methods are increasingly applied in the field of digital pathology. In this study, we p...
Humans Tissue Array Analysis Risk Factors Antigens, Differentiation, Myelomonocytic Stomach Neoplasms Time Factors CD8 Antigens Image Interpretation, Computer-Assisted Cell Proliferation Predictive Value of Tests Immunohistochemistry Tumor Microenvironment Antigens, CD Antigens, CD20 Biomarkers, Tumor Neoplasm Staging Ki-67 Antigen Risk Assessment Deep Learning
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Deep Learning Identifies Cardiomyocyte Nuclei With High Precision.

Circulation research Jun 3, 2020
Reproducibility of Results Animals Deep Learning Image Processing, Computer-Assisted Biomarkers Mice, Transgenic Troponin T Mice Integrases Myosin Heavy Chains Microscopy Fluorescent Dyes Indoles Myocytes, Cardiac Cell Nucleus Immunohistochemistry
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Toward neuroprosthetic real-time communication from in silico to biological neuronal network via patterned optogenetic stimulation.

Scientific reports May 5, 2020
Restoration of the communication between brain circuitry is a crucial step in the recovery of brain damage induced by traumatic injuries or neurological insults. In this work we present a study of real-time unidirectional communication between a spik...
Synapsins Electrophysiology Electrodes, Implanted Optogenetics Neurotransmitter Agents Models, Neurological Computer Simulation Action Potentials Video Recording Animals Humans Equipment Design Light In Vitro Techniques Microscopy, Fluorescence Neural Networks, Computer Immunohistochemistry Neurons Rats Cerebral Cortex Cells, Cultured Brain
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