scholarly journals Automatized image processing of bovine blastocysts produced in vitro for quantitative variable determination

2017 ◽  
Vol 4 (1) ◽  
Author(s):  
José Celso Rocha ◽  
Felipe José Passalia ◽  
Felipe Delestro Matos ◽  
Maria Beatriz Takahashi ◽  
Marc Peter Maserati Jr ◽  
...  
Keyword(s):  
Image Processing ◽  
Quantitative Variable

Specific Labeling of Protein Domains with Antibody Fragments

1981 ◽  
Vol 39 ◽  
pp. 416-417
Author(s):  
U. Aebi ◽  
L.E. Buhle ◽  
W.E. Fowler
Keyword(s):  
Image Processing ◽  
Specific Protein ◽  
Antibody Fragments ◽  
Supramolecular Organization ◽  
Two Dimensional ◽  
Ordered Structures ◽  
Virus Capsids ◽  
Processing Techniques

Many important supramolecular structures such as filaments, microtubules, virus capsids and certain membrane proteins and bacterial cell walls exist as ordered polymers or two-dimensional crystalline arrays in vivo. In several instances it has been possible to induce soluble proteins to form ordered polymers or two-dimensional crystalline arrays in vitro. In both cases a combination of electron microscopy of negatively stained specimens with analog or digital image processing techniques has proven extremely useful for elucidating the molecular and supramolecular organization of the constituent proteins. However from the reconstructed stain exclusion patterns it is often difficult to identify distinct stain excluding regions with specific protein subunits. To this end it has been demonstrated that in some cases this ambiguity can be resolved by a combination of stoichiometric labeling of the ordered structures with subunit-specific antibody fragments (e.g. Fab) and image processing of the electron micrographs recorded from labeled and unlabeled structures.

scholarly journals Electrical Detection of Innate Immune Cells

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5886
Author(s):  
Mahmoud Al Ahmad ◽  
Rasha A. Nasser ◽  
Lillian J. A. Olule ◽  
Bassam R. Ali
Keyword(s):  
Image Processing ◽  
Cell Size ◽  
Inflammatory Diseases ◽  
Rapid Development ◽  
Electrical Characterization ◽  
Cell Types ◽  
Innate Immune ◽  
Electrical Measurements ◽  
Reliable Marker

Accurately classifying the innate immune players is essential to comprehensively and quantitatively evaluate the interactions between the innate and the adaptive immune systems. In addition, accurate classification enables the development of models to predict behavior and to improve prospects for therapeutic manipulation of inflammatory diseases and cancer. Rapid development in technologies that provide an accurate definition of the type of cell in action, allows the field of innate immunity to the lead in therapy developments. This article presents a novel immunophenotyping technique using electrical characterization to differentiate between the two most important cell types of the innate immune system: dendritic cells (DCs) and macrophages (MACs). The electrical characterization is based on capacitance measurements, which is a reliable marker for cell surface area and hence cell size. We differentiated THP-1 cells into DCs and MACs in vitro and conducted electrical measurements on the three cell types. The results showed average capacitance readings of 0.83 µF, 0.93 µF, and 1.01 µF for THP-1, DCs, and MACs, respectively. This corresponds to increasing cell size since capacitance is directly proportional to area. The results were verified with image processing. Image processing was used for verification because unlike conventional techniques, especially flow cytometry, it avoids cross referencing and by-passes the limitation of a lack of specificity of markers used to detect the different cell types.

scholarly journals 3D reconstruction of ablation lesions from in-vitro preparations using MRI

2017 ◽  
Vol 3 (2) ◽  
pp. 437-440 ◽  
Author(s):  
Stefan Pollnow ◽  
Areg Noshadi ◽  
Michael Kircher ◽  
Gisela Guthausen ◽  
Thomas Oerther ◽  
...  
Keyword(s):  
Image Processing ◽  
Cardiac Electrophysiology ◽  
Three Dimensional ◽  
Rapid Acquisition ◽  
3D Geometry ◽  
Magnetic Resonance Imaging Mri ◽  
3D Volume ◽  
Steady State Precession ◽  
Weighted Sequences

AbstractRadiofrequency ablation is the gold standard for treating cardiac arrhythmias. However, the success rate of this procedure depends on numerous parameters. Wet lab experiments provide the opportunity to investigate cardiac electrophysiology under reproducible conditions. To evaluate the electrophysiological changes of ablated myocardium in these studies it is necessary to consider the three-dimensional (3D) geometry of the lesions. For this purpose, we investigated the usage of different magnetic resonance imaging (MRI) sequences as well as an image processing procedure to analyze in-vitro preparations. To differentiate signal intensities between nonablated and ablated tissue we evaluated FISP (fast imaging with steady-state precession; delivering dominantly T1-weighted images) and RARE (rapid acquisition with relaxation enhancement; delivering dominantly T2-weighted images). After image processing, the ablated tissue was segmented in each image slice forming a 3D volume. The geometry of the lesion was modeled by the boundary of this volume. It was generally feasible to distinguish between healthy myocardium and ablated tissue as well as to determine lesion transmurality. The analysis of the reconstructed lesion geometries from FISP and RARE MRI showed a high agreement, however T2-weighted sequences showed larger lesion volumes as well as higher variations in segmentation compared to T1- mapping. FISP with higher quality may be used to reconstruct the 3D geometry of the ablation lesions.

scholarly journals Measurement of In Vitro Plant Growth by Image Processing.

1991 ◽  
Vol 60 (3) ◽  
pp. 677-683 ◽  
Author(s):  
Shigeharu Motooka ◽  
Takahiro Hayashi ◽  
Yoshitaka Mima ◽  
Koh Konishi ◽  
Kuniyoshi Konishi
Keyword(s):  
Image Processing ◽  
Plant Growth ◽  
In Vitro Plant

scholarly journals Modulation of the Cardiomyocyte Contraction inside a Hydrostatic Pressure Bioreactor:In VitroVerification of the Frank-Starling Law

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Lorenzo Fassina ◽  
Giovanni Magenes ◽  
Roberto Gimmelli ◽  
Fabio Naro
Keyword(s):  
Image Processing ◽  
Hydrostatic Pressure ◽  
Functional Classification ◽  
Video Registration ◽  
Chronotropic Effects

We have studied beating mouse cardiac syncytiain vitroin order to assess the inotropic, ergotropic, and chronotropic effects of both increasing and decreasing hydrostatic pressures. In particular, we have performed an image processing analysis to evaluate the kinematics and the dynamics of those pressure-loaded beating syncytia starting from the video registration of their contraction movement. By this analysis, we have verified the Frank-Starling law of the heart inin vitrobeating cardiac syncytia and we have obtained their geometrical-functional classification.

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