Comparison of an image cytometry somatic cell count analyzer to a flow cytometry analyzer [PDF]
JDS Communications, 2023 The objective of this study was to evaluate the performance of a small footprint benchtop somatic cell counter based on image cytometry (LactiCyte HD; Page and Pedersen International Ltd., Hopkinton, MA) against a flow cytometer employed at a regional ...
A. Hubner +5 more
doaj +2 more sources
Calibration-Aimed Comparison of Image-Cytometry- and Flow-Cytometry-Based Approaches of Ploidy Analysis [PDF]
Sensors, 2022 Ploidy analysis is the fundamental method of measuring DNA content. For decades, the principal way of conducting ploidy analysis was through flow cytometry. A flow cytometer is a specialized tool for analyzing cells in a solution.
Viktor Zoltán Jónás +3 more
doaj +2 more sources
Development and validation of a risk model for noninvasive detection of cancer in oral potentially malignant disorders using DNA image cytometry [PDF]
Cancer Biology & Medicine, 2021 Objective: To elucidate whether DNA aneuploidy was an independent discriminator for carcinoma within oral potentially malignant disorders (OPMDs), and further establish and validate a risk model based on DNA aneuploidy for the detection of oral cancer ...
Chenxi Li +5 more
doaj +2 more sources
DNA image cytometry on sections as compared with image cytometry on smears and flow cytometry in melanoma [PDF]
Cytometry, 1996 DNA measurements of 130 melanomas were carried out by flow cytometry (FCM) and image cytometry (ICM). ICM was applied to cytological preparations of fresh material (cICM) and to sections of formalin-fixed paraffin embedded tissue (sICM). The DNA ploidy, the DNA index of G0/G1 peaks (DI), and the proliferation index (PI) were used to compare all the ...
T Klapperstück
exaly +3 more sources
Deep Learning in Image Cytometry: A Review. [PDF]
Cytometry A, 2019 AbstractArtificial intelligence, deep convolutional neural networks, and deep learning are all niche terms that are increasingly appearing in scientific presentations as well as in the general media. In this review, we focus on deep learning and how it is applied to microscopy image data of cells and tissue samples.
Gupta A +11 more
europepmc +8 more sources
A Comparative Study of Liquid-Based Cytology and DNA Image Cytometry in the Diagnosis of Serous Effusion [PDF]
Technology in Cancer Research & Treatment, 2020 Background: Liquid-based cytology is one of the most useful methods to diagnose a patient with serous effusion, especially when malignancy is suspected.
Shaohua Wang PhD +8 more
doaj +2 more sources
Diagnosing malignant transformation potential in oral submucous fibrosis with leukoplakia: an approach utilizing deoxyribonucleic acid image cytometry [PDF]
Scientific ReportsOral submucous fibrosis (OSF) is a chronic oral condition with a potential for malignant transformation. This study aims to investigate the correlation between DNA aneuploidy and dysproliferative lesions in OSF using DNA image cytometry to provide ...
Huan Li +8 more
doaj +2 more sources
Levitational Image Cytometry with Temporal Resolution. [PDF]
Adv Mater, 2015 A simple, yet powerful magnetic-levitation-based device is reported for real-time, label-free separation, as well as high-resolution monitoring of cell populations based on their unique magnetic and density signatures. This method allows a wide variety of cellular processes to be studied, accompanied by transient or permanent changes in cells ...
Tasoglu S +6 more
europepmc +4 more sources
Image cytometry protocols. [PDF]
J Histochem Cytochem, 2013 Van Noorden CJ, Chieco P.
europepmc +4 more sources
Journal for ImmunoTherapy of Cancer, 2023 Background Presence of cytotoxic T lymphocytes (CTL) in the tumor microenvironment (TME) predicts the effectiveness of cancer immunotherapies. The ability of toll-like receptor 3 (TLR3) ligands, interferons (IFNs) and COX2 inhibitors to synergistically ...
Lauren Williams +17 more
doaj +1 more source