Automated imaging cytometry reveals dysplastic indices of colonic serrated adenomas
Aim: Left-sided colonic serrated adenomas (L-SAs) were evaluated for aneuploidy using automated imaging cytometry to quantify DNA content and compared with normal colonic tissues (NCT), tubular adenomas (TA), left-sided hyperplastic polyps (L-HP) and ...
Nicholas S Samel+2 more
doaj +1 more source
Masks in imaging flow cytometry [PDF]
Data analysis in imaging flow cytometry incorporates elements of flow cytometry together with other aspects of morphological analysis of images. A crucial early step in this analysis is the creation of a mask to distinguish the portion of the image upon which further examination of specified features can be performed.
Leigh Samsel+2 more
openaire +2 more sources
Objective: To determine DNA ploidy in the cervical specimens of patients revealing a suspicion of cancer by image analysis performed by using a combination of commercial analysis software, conventional microscopy, and certified filters.
Christiane Eliza Motta Duarte+2 more
doaj +1 more source
High-throughput quantitative detection of basal autophagy and autophagic flux using image cytometry. [PDF]
Quantitative assessment of changes in macro-autophagy is often performed through manual quantification of the number of LC3B foci in immunofluorescence microscopy images. This method is highly laborious, subject to image-field selection and foci-counting
SenthilKumar G, Skiba JH, Kimple RJ.
europepmc +2 more sources
Artificial intelligence in imaging flow cytometry
Imaging flow cytometry (IFC) is a powerful screening technique that combines the advantages of flow cytometry and optical microscopy (Basiji et al., 2007; Rees et al., 2022). By capturing microscopy images of the specimens as they move along a liquid stream, IFC provides high-throughput collection of morphological and spatial information from thousands
Paolo Pozzi+4 more
openaire +5 more sources
Deep Cytometry: Deep learning with Real-time Inference in Cell Sorting and Flow Cytometry [PDF]
Deep learning has achieved spectacular performance in image and speech recognition and synthesis. It outperforms other machine learning algorithms in problems where large amounts of data are available.
Chen, Claire Lifan+5 more
core +2 more sources
Flow cytometry and integrated imaging
It is a serious problem to relate the results of a flow cytometric analysis of a marine sample to different species. Images of particles selectively triggered by the flow cytometric analysis and picked out from the flowing stream give a valuable additional information on the analyzed organisms. The technical principles and problems of triggered imaging
J. Wietzorrek, V. Kachel
openaire +5 more sources
Label-Free Metabolic Classification of Single Cells in Droplets Using the Phasor Approach to Fluorescence Lifetime Imaging Microscopy. [PDF]
Characterization of single cell metabolism is imperative for understanding subcellular functional and biochemical changes associated with healthy tissue development and the progression of numerous diseases.
Aghaamoo, Mohammad+4 more
core +1 more source
Cytokinesis in bloodstream stage Trypanosoma brucei requires a family of katanins and spastin [PDF]
Microtubule severing enzymes regulate microtubule dynamics in a wide range of organisms and are implicated in important cell cycle processes such as mitotic spindle assembly and disassembly, chromosome movement and cytokinesis.
A Baines+92 more
core +11 more sources
Differential Effects of Lipid-lowering Drugs in Modulating Morphology of Cholesterol Particles. [PDF]
Treatment of dyslipidemia patients with lipid-lowering drugs leads to a significant reduction in low-density lipoproteins (LDL) level and a low to moderate level of increase in high-density lipoprotein (HDL) cholesterol in plasma.
Alderete, Benjamin+7 more
core +1 more source