Diagnostics of trichinosis in the early stages of larval development

2016 ◽  
Vol 3 (1) ◽  
pp. 58-66
Author(s):  
Скворцова ◽  
F. Skvortsova ◽  
Успенский ◽  
A. Uspenskiy

Objective of research. The purpose of the study is the Confirmation of the diagnosis of trichinosis depends on many factors, among which is the sampling of muscle tissue from some of the most infested parts of the carcass, method of research and the equipment used. Materials and methods. The research material were samples of muscle tissue from experimentally T. spiralis infected rats. Was infected 18 white mongrel rats weighing 90-100g at a dose of 10 l/G. For the early diagnosis of trichinosis when the rats were killed with 6 to day 24 after infection. First investigated by the compressor method available and the most affected muscles: the diaphragm, masseter and chest muscles by increasing (x 25, 50, 100). Each term is made photomicrographs of larvae on the slices. Then the samples of the hindlimb muscle mass of 50 g was investigated by automated method of peptonize apparatus Gastros. At the end of the cycle of operation of the apparatus when microscopy was considered the quantity of larvae and their morphological development. Selected larvae 16 to 18 days of age have been infected mice (bioassay). After 35-36 days carcass mice were fully exposed topatolisfor the detection of Trichinella spp. Results and discussion. When peptonize automated method muscle tissue of rats infected with larvae of T. spiralis, found that larvae aged from 10 to 15 days after infection by the method are not detected. Trichinae isolated from 16-day-old, identified by microscopy, despite the lack of size of the larvae. The massive selection of Trichinella spp. begins with the 17th day after infection, when most of the larvae reaches invasionist. Non-encapsulated trichinae 16 days of age become invasive, which showed successful infection of white mice with larvae that are highlighted after peptonize. According to the results of a biosample main mass of larvae becomes infective to 19-20 days after infection. Thus, an automated method of peptonize muscle tissue easily diagnose the infection of animals with non-encapsulated larvae of Trichinella spp. that are difficult or sometimes impossible in compressor research. Diagnosis of trichinosis by automated method is most effective when the larvae of invasionist.

Author(s):  
В. Д. Тромсюк ◽  
◽  
В. Д. Бугайов ◽  

The research was conducted in 2014-2017 in the department of selection of fodder, grain ears, and industrial crops in the fields of scientific crop rotation of the Institute of Fodder and Agriculture of Podillya NAAS of Ukraine. A collection of 114 hexaploid specimens of different ecological and geographical origins was used as research material. Six varieties of winter triticale of different ecological and geographical origin and the manifestation of valuable economic features were used in crosses according to the scheme of full diallel analysis: Polovetske (UA0602494), Amos (UA0602627) originating from Ukraine; Kapryz (UA0601781), Tsekad 90 (UA0602066) - Russia; Dubrava (UA0602222) - Belarus and Pawo (UA0602555) - Poland. Only the best plants, which did not lag in growth and were normally developed, were selected for hybridization. The obtained generation F0 was sown in 2016, and generation F1 – 2017 manually in an experimental field with the same depth, which provides plants with the same area of nutrition. After full maturation, the plants were also collected manually in sheaves, structural analysis was performed on the main indicators of productivity. The frequency and degree of manifestation of positive transgressions in hybrids of the second generation (F2) of winter triticale were evaluated based on productivity: productive bushiness, number and weight of ear grains and grain weight from the plant. The best hybrids by degree and frequency of manifestation of positive transgression are selected. The degree of transgressions in productive bushiness averaged 65.3%, frequency - 43%; number of grains in the main ear - 7.4%, frequency - 15.3%; weight of grain in the ear - 13.8% at a frequency of 27, 7%; weight of grain from the plant - 91.5% with a transgression frequency of 52.7%. The best hybrid combinations of winter triticale on the basis of "productive bushiness" - Polovtsian / Caprice and Dubrava / Polovtsian (Tc = 100%), the maximum frequency of transgressions on this basis - hybrids Polovtsian / Caprice / Pawos and Pawo are selected and offered for use in the selection process. TC = 60); "Number of grains from the ear" - the maximum degree of transgressions was found in the hybrid Pawo / Polovtsian (Tc = 18.1%), the maximum frequency - in the hybrid Caprich / Pawo (Tch = 40); "Ear grain mass" - Pawo / Amos (Tc = 37.0%), the highest frequency of transgressions - in hybrids Amos / Dubrava and Kaprikh / Pawo (Tch = 50); "Grain weight from the plant" - Polovtsian / Amos (Tc = 37.0%), the frequency of transgressions - hybrids Polovtsian / Amos and Polovtsian / Caprice (Tc = 85%).


2020 ◽  
Vol 1 (1) ◽  
pp. 108 ◽  
Author(s):  
Takahiro Hosokawa ◽  
Sio Suzuki ◽  
Yutaka Tanami ◽  
Yumiko Sato ◽  
Yoshihiro Ko ◽  
...  

In contrast to computed tomography, ultrasound can be performed without radiation exposure, repeatedly performed by the patients’ bedside. Hence, in this case series, we describe the evaluation of complications including hematoma, superficialsurgical site infection, mediastinitis, and pseudoaneurysm associated mediastinitis using ultrasound in pediatric patients after cardiovascular surgery. To our knowledge, no previous reports have evaluated such complications using ultrasound. Ultrasound may be useful for the early diagnosis of these complications, and in the selection of subsequent examinations such as computed tomography, resulting in the early initiation of intervention.


2021 ◽  
pp. 73-80
Author(s):  
Eric Markley ◽  
◽  
David Q. Le ◽  
Peter Germonpré ◽  
Costantino Balestra ◽  
...  

Venous gas emboli (VGE) are often quantified as a marker of decompression stress on echocardiograms. Bubble-counting has been proposed as an easy to learn method, but remains time-consuming, rendering large dataset analysis impractical. Computer automation of VGE counting following this method has therefore been suggested as a means to eliminate rater bias and save time. A necessary step for this automation relies on the selection of a frame during late ventricular diastole (LVD) for each cardiac cycle of the recording. Since electrocardiograms (ECG) are not always recorded in field experiments, here we propose a fully automated method for LVD frame selection based on regional intensity minimization. The algorithm is tested on 20 previously acquired echocardiography recordings (from the original bubble-counting publication), half of which were acquired at rest (Rest) and the other half after leg flexions (Flex). From the 7,140 frames analyzed, sensitivity was found to be 0.913 [95% CI: 0.875-0.940] and specificity 0.997 [95% CI: 0.996-0.998]. The method’s performance is also compared to that of random chance selection and found to perform significantly better (p<0.0001). No trend in algorithm performance was found with respect to VGE counts, and no significant difference was found between Flex and Rest (p>0.05). In conclusion, full automation of LVD frame selection for the purpose of bubble counting in post-dive echocardiography has been established with excellent accuracy, although we caution that high quality acquisitions remain paramount in retaining high reliability.


2014 ◽  
Vol 6 (1) ◽  
pp. 9-27 ◽  
Author(s):  
Abhir Bhalerao ◽  
Gregory Reynolds

The assessment of forensic photographs often requires the calibration of the resolution of the image so that accurate measurements can be taken of crime-scene exhibits or latent marks. In the case of latent marks, such as fingerprints, image calibration to a given dots-per-inch is a necessary step for image segmentation, preprocessing, extraction of feature minutiae and subsequent fingerprint matching. To enable scaling, such photographs are taken with forensic rulers in the frame so that image pixel distances can be converted to standard measurement units (metric or imperial). In forensic bureaus, this is commonly achieved by manual selection of two or more points on the ruler within the image, and entering the units of the measure distance. The process can be laborious and inaccurate, especially when the ruler graduations are indistinct because of poor contrast, noise or insufficient resolution. Here the authors present a fully automated method for detecting and estimating the direction and graduation spacing of rulers in forensic photographs. The method detects the location of the ruler in the image and then uses spectral analysis to estimate the direction and wavelength of the ruler graduations. The authors detail the steps of the algorithm and demonstrate the accuracy of the estimation on both a calibrated set of test images and a wide collection of good and poor quality crime-scene images. The method is shown to be fast and accurate and has wider application in other imaging disciplines, such as radiography, archaeology and surveying.


1970 ◽  
Vol 53 (5) ◽  
pp. 907-910 ◽  
Author(s):  
Jon E Mcneal ◽  
Albert Karasz ◽  
Elmer George

Abstract An automated method for the analysis of protein in meat was studied. The investigation included selection of proper standards, development of a method for presolubilizing meat samples for presentation to the AutoAnalyzer, and the construction of AutoAnalyzer manifolds to give protein results comparable to those obtained by the official AOAC Kjeldahl method. The method was found to be applicable to meat and meat products ranging from 5 to 25% protein.


2021 ◽  
Vol 15 ◽  
Author(s):  
Johannes Rodrigues ◽  
Martin Weiß ◽  
Johannes Hewig ◽  
John J. B. Allen

BackgroundSince the replication crisis, standardization has become even more important in psychological science and neuroscience. As a result, many methods are being reconsidered, and researchers’ degrees of freedom in these methods are being discussed as a potential source of inconsistencies across studies.New MethodWith the aim of addressing these subjectivity issues, we have been working on a tutorial-like EEG (pre-)processing pipeline to achieve an automated method based on the semi-automated analysis proposed by Delorme and Makeig.ResultsTwo scripts are presented and explained step-by-step to perform basic, informed ERP and frequency-domain analyses, including data export to statistical programs and visual representations of the data. The open-source software EEGlab in MATLAB is used as the data handling platform, but scripts based on code provided by Mike Cohen (2014) are also included.Comparison with existing methodsThis accompanying tutorial-like article explains and shows how the processing of our automated pipeline affects the data and addresses, especially beginners in EEG-analysis, as other (pre)-processing chains are mostly targeting rather informed users in specialized areas or only parts of a complete procedure. In this context, we compared our pipeline with a selection of existing approaches.ConclusionThe need for standardization and replication is evident, yet it is equally important to control the plausibility of the suggested solution by data exploration. Here, we provide the community with a tool to enhance the understanding and capability of EEG-analysis. We aim to contribute to comprehensive and reliable analyses for neuro-scientific research.


2007 ◽  
Vol 50 (1) ◽  
pp. 112-113
Author(s):  
A. Dybus

Abstract. Traditional selection of racing pigeons has been focusing on spatial orientation, velocity, and endurance of flight. LDHA gene is involved in aerobic and anaerobic metabolism of the muscle tissue (VAN HALL et al., 1999). Mutations in the LDHA gene can potentially diversify the homing performance of racing pigeons. Previously, two polymorphic sites of LDHA gene have been identified (DYBUS and KMIEĆ, 2002, DYBUS et al., 2006).


2010 ◽  
Vol 88 (3) ◽  
pp. 264-272 ◽  
Author(s):  
Julie-Anna M. Benjamin ◽  
Guillaume Desnoyers ◽  
Audrey Morissette ◽  
Hubert Salvail ◽  
Eric Massé

Iron starvation and oxidative stress are 2 hurdles that bacteria must overcome to establish an infection. Pathogenic bacteria have developed many strategies to efficiently infect a broad range of hosts, including humans. The best characterized systems make use of regulatory proteins to sense the environment and adapt accordingly. For example, iron–sulfur clusters are critical for sensing the level and redox state of intracellular iron. The regulatory small RNA (sRNA) RyhB has recently been shown to play a central role in adaptation to iron starvation, while the sRNA OxyS coordinates cellular response to oxidative stress. These regulatory sRNAs are well conserved in many bacteria and have been shown to be essential for establishing a successful infection. An overview of the different strategies used by bacteria to cope with iron starvation and oxidative stress is presented here.


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