The influence of sample processing time on the performance of Microsporum canis cultures in cats

2021 ◽  
Author(s):  
Aline E. Santana ◽  
Fábio P. Sellera ◽  
Kilder D. Filgueira ◽  
Carlos P. Taborda ◽  
Archivaldo Reche‐Junior
Keyword(s):  
Processing Time ◽  
Microsporum Canis ◽  
Sample Processing

scholarly journals Gamma-H2AX biodosimetry for use in large scale radiation incidents: comparison of a rapid lyse/fix protocol with a routine method

2013 ◽  
Author(s):  
Jayne Moquet ◽  
Stephen G R Barnard ◽  
Kai Rothkamm
Keyword(s):  
Large Scale ◽  
Processing Time ◽  
Clinical Symptoms ◽  
Gradient Centrifugation ◽  
Routine Method ◽  
Sample Processing ◽  
Ficoll Density Gradient Centrifugation ◽  
One Step ◽  
The Cost ◽  
Ficoll Density Gradient

Following a radiation incident, preliminary dose estimates made by γ-H2AX foci analysis can supplement the early triage of casualties based on clinical symptoms. Sample processing time is important when many individuals need to be rapidly assessed. A protocol was therefore developed for high sample throughput that requires less than 0.1 ml blood, thus enabling finger prick sampling. The technique combines red blood cell lysis and leukocyte fixation in one step on a 96 well plate, in contrast to the routine protocol, where lymphocytes are separated by Ficoll density gradient centrifugation with subsequent washing and fixation steps. The rapid lyse/fix method reduced the estimated sample processing time for 96 samples to about 4 h compared to 15 h using the routine protocol. However, scoring 20 cells in 96 samples prepared by the rapid protocol took longer than for the routine method (3.1 versus 1.5 h at zero dose; 7.0 versus 6.1 h for irradiated samples). Similar foci yields were scored for both protocols and reliable dose estimates were obtained for coded samples, with mean absolute differences from the actual doses of 0.26 and 0.27 Gy for the routine and lyse/fix method, respectively. The lyse/fix protocol can therefore facilitate high throughput processing for γ-H2AX biodosimetry for use in large scale radiation incidents, at the cost of somewhat longer foci scoring times.

Probe Tip Replacement System Inside the FIB

2006 ◽  
Vol 983 ◽  
Author(s):  
Gonzalo Amador ◽  
Lyudmila Zaykova-Feldman ◽  
Thomas M Moore
Keyword(s):  
Sample Preparation ◽  
Processing Time ◽  
Vacuum Chamber ◽  
Semiconductor Industry ◽  
In Situ Tem ◽  
Sample Processing ◽  
Time Efficiency ◽  
Material Deposition ◽  
Replacement System

AbstractThe in-situ lift-out method for TEM sample preparation, based on the use of a chamber-mounted nanomanipulator and FIB induced material deposition, has proven its effectiveness over the last several years. The time-efficiency introduced by this method is one reason for its success and rapid adoption within the semiconductor industry. Improvements to in-situ TEM lift-out preparation have been pursued to further improve sample processing time. One area targeted has involved methods to enable rapid in-situ probe tip replacement without having to remove the probe shaft from the vacuum chamber. This paper describes an in-situ probe tip replacement system that successfully solves this problem.

scholarly journals An analysis of the impact of pre-analytical factors on the urine proteome: Sample processing time, temperature, and proteolysis

2015 ◽  
Vol 9 (5-6) ◽  
pp. 507-521 ◽  
Author(s):  
Sophie Hepburn ◽  
David A. Cairns ◽  
David Jackson ◽  
Rachel A. Craven ◽  
Beverley Riley ◽  
...  
Keyword(s):  
Processing Time ◽  
Sample Processing ◽  
Urine Proteome ◽  
The Impact

scholarly journals Analysis of the error associated with the subsampling of Chironomidae in an intermittent stream of semi-arid Brazil

2015 ◽  
Vol 15 (1) ◽  
Author(s):  
Rafaela Lima de Farias ◽  
Thuanny Fernanda Braga Alencar ◽  
Jéssica Alcoforado de Sena Lima ◽  
Elvio Sergio Figueredo Medeiros
Keyword(s):  
Processing Time ◽  
Petri Dish ◽  
Spearman Correlation ◽  
Sample Processing ◽  
Intermittent Stream ◽  
Random Subset ◽  
Large Samples ◽  
The Difference ◽  
Larger Sample ◽  
Semi Arid

Chironomidae is a common family in freshwaters, often occurring at high densities, which hinders the processing of large samples, given that time and labor are usually limited. The present study aims at evaluating the extent of the error related with the subsampling of Chironomidae from a larger sample with regard to the size of the individuals between a sample and the subsample. A total of 9195 chironomids were collected from three sites in an intermittent stream. Samples were taken using a D-shaped net (250 µm) on eight occasions. Individuals from each sample were homogenized in a gridded Petri dish and coordinates from lines and columns were randomly drawn. Individuals from the assigned coordinates were selected until 100 individuals or 10% of the sample were chosen. Comparisons were made between the proportion of larger (≥5mm) and smaller individuals (<5mm) between the samples and subsamples, and it was established the correlation between the size of the error and the size of the sample, using the rank coefficient of Spearman. The highest error observed was 12.7%, meaning that the difference in larger individuals between the sample and subsample reached that value. However on six of the eight samples the error was below 3%. Spearman correlation showed no significance between the error observed and the size of the sample (ρ=0.38, p=0.35), meaning that larger samples will not yield larger error associated with the size of the individuals. The present study indicates that the subsampling technique used is capable of drawing a random subset of individuals from a sample of chironomids with regard to their size. This technique can be used in ecological or biomonitoring studies in order to reduce sample processing time without creating a bias in the analysis.

scholarly journals Gamma-H2AX biodosimetry for use in large scale radiation incidents: comparison of a rapid lyse/fix protocol with a routine method

2013 ◽  
Author(s):  
Jayne Moquet ◽  
Stephen G R Barnard ◽  
Kai Rothkamm
Keyword(s):  
Large Scale ◽  
Processing Time ◽  
Clinical Symptoms ◽  
Gradient Centrifugation ◽  
Routine Method ◽  
Sample Processing ◽  
Ficoll Density Gradient Centrifugation ◽  
One Step ◽  
The Cost ◽  
Ficoll Density Gradient

Following a radiation incident, preliminary dose estimates made by γ-H2AX foci analysis can supplement the early triage of casualties based on clinical symptoms. Sample processing time is important when many individuals need to be rapidly assessed. A protocol was therefore developed for high sample throughput that requires less than 0.1 ml blood, thus enabling finger prick sampling. The technique combines red blood cell lysis and leukocyte fixation in one step on a 96 well plate, in contrast to the routine protocol, where lymphocytes are separated by Ficoll density gradient centrifugation with subsequent washing and fixation steps. The rapid lyse/fix method reduced the estimated sample processing time for 96 samples to about 4 h compared to 15 h using the routine protocol. However, scoring 20 cells in 96 samples prepared by the rapid protocol took longer than for the routine method (3.1 versus 1.5 h at zero dose; 7.0 versus 6.1 h for irradiated samples). Similar foci yields were scored for both protocols and reliable dose estimates were obtained for coded samples, with mean absolute differences from the actual doses of 0.26 and 0.27 Gy for the routine and lyse/fix method, respectively. The lyse/fix protocol can therefore facilitate high throughput processing for γ-H2AX biodosimetry for use in large scale radiation incidents, at the cost of somewhat longer foci scoring times.

scholarly journals The sample processing time interval as an influential factor in flow cytometry analysis of lymphocyte subsets

2007 ◽  
Vol 102 (1) ◽  
pp. 117-120 ◽  
Author(s):  
Ana Paula dos Santos ◽  
Álvaro Luiz Bertho ◽  
Reinaldo de Menezes Martins ◽  
Rugimar Marcovistz
Keyword(s):  
Flow Cytometry ◽  
Processing Time ◽  
Lymphocyte Subsets ◽  
Influential Factor ◽  
Time Interval ◽  
Flow Cytometry Analysis ◽  
Sample Processing
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