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Affinity Modification: Physical Chemistry
Published in Dmitri G. Knorre, Valentin V. Vlassov, Affinity Modification of Biopolymers, 1989
Dmitri G. Knorre, Valentin V. Vlassov
The scheme was treated in quasiequilibrium approximation. This means that consumption of either PX or PX2 is followed by rapid redistribution among P, PX, and PX2 and only the expression for the consumption rate of total concentration Pt = [P] -I- [PX] + [PX2] can be written. The same holds for PZt(1) = [PZ(1)] + [PZ(1)X] and for PZt(2) = [PZ(2)] + [PZ(2)X]. At the same time, the fractions f of the reacting forms should be taken into account in kinetic equations, for example:
Phenotypic whole-cell screening identifies a protective carbohydrate epitope on Klebsiella pneumoniae
Published in mAbs, 2022
Sophia K. Berry, Steven Rust, Carolina Caceres, Lorraine Irving, Josefin Bartholdson Scott, David E. Tabor, Gordon Dougan, Graham Christie, Paul Warrener, Ralph Minter, Andrew J. Grant
HCI analysis was performed in Columbus (PerkinElmer). For quantification of mAb binding to K. pneumoniae 43816 and K. pneumoniae 43816 ΔcpsB, the total AF647 intensity per well was calculated using a cutoff of mean >5000 to eliminate nonspecific background signal. This was normalized to the density of bacteria per well by dividing the AF647 signal by DAPI area (px2). For quantification of mAb binding to K. pneumoniae O1 and O2 strains ± gmlABC, the same analysis pipeline was used, and a cutoff of mean >50 was used to eliminate background. For quantification of the proportion of bacteria that were positive for binding, the AF647 area sum (px2) was divided by DAPI area sum (px2). To eliminate background, a cutoff of mean >50 was used. For quantification of macrophage-associated K. pneumoniae spot intensity in the high-content OPK assay, the macrophage cytoplasm image area was first defined using cell mask orange (CMO) signal. K. pneumoniae spots within the macrophage cytoplasm image area were then defined using AF488 signal, and the total AF488 intensity sum was calculated, excluding spots with a mean AF488 intensity <5 to eliminate nonspecific background signal.
Analysis of selected mechanical parameters for foamed materials with non-Newtonian liquid characteristics in terms of their use in aspects of protective helmets
Published in International Journal of Occupational Safety and Ergonomics, 2020
Marcin Jachowicz, Grzegorz Owczarek
The structures of the tested materials, as well as their cross-sections and computer image analyses of their surface (done using ImageJ version 1.52j), are shown in Figure 1. Digital images of cross-sectional areas measuring 185 × 284 mm2 (350 × 502 px2) were recorded using a 2-MP optical microscope (Delta Optical Smart, Poland) and subjected to quantitative analysis of their structure. Image processing was based on simple functions using the following operations: conversion to grayscale (8 bit), brightness and contrast enhancement, and thresholding in the grayscale range of 0–152.