Human MDFI blocking peptide

Microbicidal activity is related to the production of reactive oxygen species (ROS) that can be measured by flow-cytometry using rhodamine 123 (R123). Few assays have been proposed to measure ROS production, usually on heparinized samples but none of them.is standardized. Here we propose to improve the test by selecting poly-morphonuclears (PMN) and monocytes, labelled and activated in one step to keep the test short, and to standardize the process even between different systems (i.e. Navios (TM) and FACSCanto (TM)) using fluorescence intensity target setting ("FITS"). We applied this test on 15 patients without inflammation, 19 patients from an intensive care unit (ICU) and 11 healthy volunteers. Results: Provided calcium restitution, we show that the test can be performed on EDTA that is a better sample preservative. The results were highly correlated between instruments (r(2) = 0.898). PMN CD16 (and not CD14) expression was altered under stimulation with E. coli (MdFI = 239.3 +/- 93.5) or PMA (139.7 +/- 76.8) as compared to resting sample (307.6 +/- 145.1). RH123 was strongly and homogeneously induced by PMA (14.2 +/- 6.6) and more heterogeneously by E. coli (MdFI 21.9 +/- 23.4) as compared to unstimulated PNN (0.9 +/- 13,p < 0.0001). The test is useful not only for genetic disorders but also for secondary deficiencies as observed in ICU (E. coli RH123 MEI = 10.5 +/- 11.1 patients vs 30.1 +/- 26.5 in healthy donors). In ICU, CD16 expression was already altered on unstimulated samples (MdFI = 197.4 +/- 1312 vs 418, 2 +/- 813 in healthy donors; p 0.0001). Bacterial stimulation was dependent of the complement that partly explains deficiency to bacterial stimulus in ICU patients. (C) 2016 Published by Elsevier B.V.

Dark field illumination (DFI) is an elegant inspection technique sometimes used to detect particles on a specular surface. However, traditional DFI struggles with repeatability, limiting its applications in automated inspection. We present an improvement to DFI by introducing a modulated dark field illumination (MDFI) that utilizes the phase rather than the intensity in the detection of defects. For modulated dark field illumination (MDFI), the phase-based information is independent from the reflectance of the surface, but has a higher sensitivity to the light scattered from a defect than DFI. As a result, we obtain a robust computational image process method that is insensitive to the environment and provides clearly defined defect information. In order to extend the application to industry, the instantaneous MDFI systems were developed and validated.