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Image analysis software

Manufactured by NT-MDT

The Image Analysis software is a tool designed to assist users in the analysis and processing of digital images. It provides a set of features and functionalities to facilitate the extraction, measurement, and interpretation of relevant information from various types of images.

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5 protocols using image analysis software

1

Quantitative Analysis of Mica-Adsorbed HRP

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The heights of mica-adsorbed HRP were determined as the heights corresponding to the maxima of the respective distributions of the mica-adsorbed objects with heights ρ(h) as reported in [41 (link)]:
where Nh is the number of AFM-visualized mica-adsorbed objects of the height h, while N is the total number of mica-adsorbed objects visualized by AFM.
The experimentally obtained dependence (1) was then approximated using the Gaussian function: ρ(h)= ρi(h)=i=12Ae4 ln(2)(hhc)2w2wπ4 ln(2)
where A, hc, and w are the parameters varied upon approximation. The maxima of the ρ(h) distributions were calculated as the maxima of the approximation Function (2) for each distribution. The analysis of the approximation of the experimentally obtained ρ(h) distributions is based on a χ2 criterion.
The initial processing of the AFM images obtained (second-order plane subtraction) and the data export to ASCII format were performed with an Image Analysis software (NT-MDT, Zelenograd, Russia) supplied with the atomic force microscopes. The number of objects, visualized in the AFM images obtained, was calculated with a specialized Recognite software (developed in Institute of Biomedical Chemistry in collaboration of Moscow Engineering Physical Institute MEPhI).
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2

Visualizing Micelle Surface Topography

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Topography, phase, and magnitude signal images of the micelles deposited onto a freshly cleaved mica surface were obtained by atomic force microscopy (AFM) using a scanning probe microscope, NTEGRA Prima (NT-MDT, Moscow, Russia), operated in a semi-contact mode with a 15–20 nm peak-to-peak amplitude of the “free air” probe oscillations. Silicon cantilevers NSG01 “Golden” series cantilevers for semi-contact mode (NT-MDT, Russia) were used. Image processing was performed using the Image Analysis software (NT-MDT, Russia).
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3

Chit5 and Chit5-PEG Nanoparticle Synthesis

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Chit5 and Chit5-PEG nanoparticles were obtained using extrusion (200 or 400 nm membrane, Avanti Polar Lipids) after 1 h incubation of samples (0.01–1 mg/L) at 40 °C. The initiation of gelation was performed by placing a solution with an alkaline medium (pH 8–10), ovalbumin or alginic acid as the counterions in a syringe receiver. Particles’ hydrodynamic diameter sizes and ζ-potentials were measured using Zetasizer Nano S from Malvern (Malvern, UK) (4 mW He–Ne laser, 633 nm, scattering angle 173°) in 0.01 M PBS (pH 7.4). Dynamic light scattering data were analyzed using Zetasizer Software (v. 8.02). Topography, phase and magnitude signal images of the micelles deposited onto freshly cleaved surface of mica were obtained via atomic force microscopy (AFM) using a scanning probe microscope, NTEGRA Prima (NT-MDT, Russia), operated in a semi-contact mode with 15–20 nm peak-to-peak amplitude of the “free air” probe oscillations. Silicon cantilevers NSG01 “Golden” series were used for semi-contact mode (NT-MDT, Russia). Image processing was performed using the Image Analysis software (NT-MDT, Russia).
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4

Atomic Force Microscopy Imaging of DCLs

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Imaging was performed using an atomic force microscope Solver P47PRO (NT-MDT, Moscow, Russia). Images were done in semi-contact scanning mode at the frequency 150 kHz using NSG 11 cantilever. The ROTH slides (Carl Roth GmbH, Karlsruhe, Germany) with the films of DCLs samples being diluted 10 times were dried on the air for 10–12 h before the experiment. Processing and analysis of images were carried out using the offline portion of NT-MDT Image Analysis software (software version 2.2).
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5

Rabies Antibody Titer Determination via Cell Roughness

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Image processing and analysis was performed using image analysis software (NT-MDT, Russia). The virus titer was the dilution value with the lowest virus concentration, which would cause a statistically significant increase in the surface roughness of the cells as compared to the control group. The titer of rabies antibodies was determined graphically. The values of reciprocal dilutions of the test sample were noted along the abscissa axis, and the index of inhibition of the increase in roughness was noted along the ordinate axis. This index was determined by the following formula and expressed as a percentage:
I=Np.k.NNp.k.Nn.k.×100%
where I is the roughness inhibition index, N is the average value of the surface roughness of cells treated with a mixture of immunoglobulin and virus, Np.k. is the average value of the roughness of cells treated with a working solution of the virus (Positive control), and Nn.k. is the average value of the roughness of uninfected intact cells (Negative control).
The titer of rabies antibodies in the test material was the value corresponding to the inhibition index of increase in roughness equal to 50%.
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