Results 31 to 40 of about 242,521 (294)
Dictionary-enhanced imaging cytometry [PDF]
AbstractState-of-the-art high-throughput microscopes are now capable of recording image data at a phenomenal rate, imaging entire microscope slides in minutes. In this paper we investigate how a large image set can be used to perform automated cell classification and denoising.
Antony Orth +2 more
openaire +2 more sources
Multi-scale Gaussian representation and outline-learning based cell image segmentation [PDF]
BACKGROUND: High-throughput genome-wide screening to study gene-specific functions, e.g. for drug discovery, demands fast automated image analysis methods to assist in unraveling the full potential of such studies.
Rämö, P. +11 more
core +1 more source
High-throughput label-free image cytometry and image-based classification of live Euglena gracilis [PDF]
Cheng Lei, Takuro Itô, Osamu Iwata
exaly +2 more sources
Deep learning-based single-cell optical image studies
S.226-240Optical imaging technology that has the advantages of high sensitivity and cost-effectiveness greatly promotes the progress of nondestructive single-cell studies.
Tárnok, Attila, Su, Xuantao, Sun, Jing
core +1 more source
Development of Spectral Imaging Cytometry
AbstractSpectral flow cytometry is a new technology that enables measurements of fluorescent spectra and light scattering properties in diverse cellular populations with high precision. Modern instruments allow simultaneous determination of up to 40+ fluorescent dyes with heavily overlapping emission spectra, discrimination of autofluorescent signals ...
Ivan A, Vorobjev +2 more
openaire +2 more sources
Here, we describe a multiplexed immunohistochemical platform with computational image processing workflows, including image cytometry, enabling simultaneous evaluation of 12 biomarkers in one formalin-fixed paraffin-embedded tissue section.
Takahiro Tsujikawa +21 more
doaj +1 more source
Cellular Image Analysis and Imaging by Flow Cytometry [PDF]
Imaging flow cytometry combines the statistical power and fluorescence sensitivity of standard flow cytometry with the spatial resolution and quantitative morphology of digital microscopy. The technique is a good fit for clinical applications by providing a convenient means for imaging and analyzing cells directly in bodily fluids.
David A, Basiji +4 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
Enhanced γ-H2AX DNA damage foci detection using multimagnification and extended depth of field in imaging flow cytometry [PDF]
Accurate and rapid methods for the detection of DNA damage foci in eukaryotic cells are central to DNA repair studies, which identify differences in DNA repair capacity in cell lines.
Bourton, EC +11 more
core +1 more source
Imaging cytometry without image reconstruction (ghost cytometry)
Imaging and analysis of many single cells hold great potential in our understanding of heterogeneous and complex life systems and in enabling biomedical applications. We here introduce a recently realized image-free "imaging" cytometry technology, which we call ghost cytometry.
Ota, Sadao +4 more
openaire +2 more sources

