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S Anbalagan

Publications and source records attributed to S Anbalagan.

2 recordsLinked to original sources

Sequence analysis of infectious bursal disease virus isolates from India: phylogenetic relationships.

Prevalence of infectious bursal disease (IBD) among chickens in different parts of Tamil Nadu, India, has been studied by collection of bursal samples from suspected flocks and by performing reverse transcription-polymerase chain reaction (RT-PCR) for amplification of a specific product of 474 bp from the variable region of the VP2 gene. Among 53 bursal samples examined by RT-PCR, 40 showed a positive reaction. The amplified products were subjected to nucleotide sequencing and the obtained sequences were compared with those of IBD virus (IBDV) vaccine strain Georgia, the classical virulent strain 52/70 and the very virulent Japanese OKYM strain. Nucleotide homology data indicated that all the Tamil Nadu isolates showed homology ranging from 91 to 99.6% among themselves. When compared with the very virulent Japanese OKYM strain, four isolates grouped with that strain. Majority of the isolates clustered with the very the virulent OKYM strain as evident from phylogenetic analysis performed using the MEGA program. Comparison of the deduced amino acid sequences of IBDV isolates with those of the vaccine strain Georgia, the classical virulent strain 52/70 and the very virulent strain OKYM also revealed the presence of conserved serine-rich heptapeptide sequence in most of the isolates. Results of this study indicate that majority of the IBDV isolates are very virulent, which is evident from heavy mortality that has been reported in few flocks of poultry in spite of regular vaccination.

Amino Acid Sequence↗

Automatic leukocyte classification using cytochemically stained smears.

A leukocyte classification algorithm suitable for automated differential counting has been developed for blood smears stained with a new three-component cytochemical stain which has relatively narrow absorption bands centered at 460, 540 and 640 nm, respectively. The classification procedure is the result of a pattern recognition experiment using a sample of 223 leukocytes distributed evenly over the five normal cell types. The basic data for each cell were three digital microscopic images obtained with narrow band illumination at the above central wavelengths using a TV-digitizer system interfaced to a PDP-15 computer. The classification algorithm involves a sequential decision procedure utilizing five pattern features computed from the intensity histograms of the green and blue digital images. Thus the number of arithmetic operations and the number of computer memory words necessary to perform the classification into one of the five normal white blood cell types are both proportional to n where n is the number of gray levels into which the intensity scale is divided. In this experiment, n equals 256. Comparison of our results with work of others on smears prepared with Romanowski-type stains indicates that such narrow-band, spectrally well separated cytochemical multiple stains can permit the use of algorithms which are approximately ten times faster.

Autoanalysis↗