Computerized hematology analyzers are the absolute most significant instruments in the present clinical laboratory. Hematology analyzers are the principal supplies in clinical labs. A very good quality, high-volume analyzers convey dependable red platelet checks, platelet tallies, and 5-section differentials of white platelets, recognizing lymphocytes, monocytes, neutrophils, eosinophils, and basophils. CELL-DYN SapphireTM is a very good quality hematology analyzer made by Abbott Technologies. The UniCel® DxH 800 Analyzer is a quantitative, automated hematology analyzer developed for use in clinical laboratories for in vitro diagnostic screening of patient populations. XE-5000 is an automated hematology analyzer used in clinical laboratories for in vitro diagnostic. XE-5000 can examine and can give output for 67 parameters. The XN-2000 platform combines two investigative components that can be customized to suit a specific clinical application. Without the need for large track-based structures, costly stains, or reflexive testing, the ADVIA® 2120i Hematology Machine will fully simplify your hematology lab. Photometry is the method used in hemoglobin measurement. The traditional method for counting cells is electrical impulse, otherwise called as Coulter Principle. It is used in most hematology analyzers. In optical light scatter measurement, through a diluted blood spectrum a beam of laser light is passed and that is projected into the flow cell by hydrodynamic focusing. This review aimed to overview the working principle of various Hematological analyzers in common use.
Background: Antimicrobial drug resistance is the major problem encountered world-wide. Novel therapeutic leads have been identified and are regularly tested for their activity against microbial pathogens. Aim: To identify the protein network interactions of triclosan in red complex pathogens. Materials and Methods: The present study follows an observational study design which aims to screen for the interaction of triclosan in red complex pathogens. The interaction was analyzed using the STITCH v.5 pipeline. The functional class of proteins identified were assessed using VICMPred and VirulentPred softwares. The microbial pathogens Treponema denticola ATCC 35405, Tannerella forsythia ATCC 43037, Porphyromonas gingivalis ATCC 33277 are the strains of red complex pathogens that are included in the present study. Results and Discussion: Several proteins were found to interact with triclosan. Among the protein interactions, interactions of triclosan with virulent proteins seems to have a greater impact. The NAD-dependent nucleotide-diphosphate-sugar epimerase [PGN_1370], Putative NAD dependent epimerase [PGN_1886], GDP-fucose synthetase [PGN_1079], Probable oxidoreductase [PGN_1360] of Porphyromonas gingivalis, Conserved hypothetical protein [TDE_2401], Epimerase/dehydratase family protein [TDE_1439] of Treponema denticola, NAD dependent epimerase/dehydratase family protein [BFO_2919], Hypothetical protein [BFO_1782], Nitroreductase family protein [BFO_1604] and Nitroreductase family protein [BFO_1516] Tannerella forsythia were found to be exhibit virulence nature. Conclusion: This study identifies the molecular targets of triclosan on red complex pathogens. As triclosan interacts with the red complex pathogens, in future it can be used as a primary medicine for periodontitis and some oral conditions.
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