2017
DOI: 10.14445/23939117/ijms-v4i7p101
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Screening of hemoglobinopathies in 32000 dried blood spot samples by cation exchange high performance liquid chromatography - An Indian study

Abstract: Background & objectives:The present study evaluated usefulness of cation exchange highperformance liquid chromatography (HPLC) as a screening tool for early detection of thalassemia & hemoglobin variants in dried blood spot (DBS) samples. We discussed the laboratory aspects ofdiagnostic difficulties in HPLC based screening algorithm in Indian population.Methods:-A total of 32000 DBS samples collected from neonates were primarily screened for hemoglobinopathies on HPLC between June 2013 and May 2016. All presum… Show more

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(2 citation statements)
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“…For our purpose, the band intensities for unaffected newborn samples were estimated as being 20% HbA, 10% HbF ac and 70% HbF. Similarly, SCD (SS version, also referenced as FS) was approximated as 0% HbA, 10% HbF ac , 76% HbF and 14% HbS from prior literature [8], and for AFSC control the intensities were approximated as 36% HbA, 25% HbF, 23% HbS and 16% HbC [9]. However, a random multiplier from the range of ± 7% calculated from intensity percentages is applied to each individual band in order to give variety to the synthetic samples, while keeping the sum of each samples' band intensities equal to 100%.…”
Section: B Sample Image Synthetizationmentioning
confidence: 99%
See 1 more Smart Citation
“…For our purpose, the band intensities for unaffected newborn samples were estimated as being 20% HbA, 10% HbF ac and 70% HbF. Similarly, SCD (SS version, also referenced as FS) was approximated as 0% HbA, 10% HbF ac , 76% HbF and 14% HbS from prior literature [8], and for AFSC control the intensities were approximated as 36% HbA, 25% HbF, 23% HbS and 16% HbC [9]. However, a random multiplier from the range of ± 7% calculated from intensity percentages is applied to each individual band in order to give variety to the synthetic samples, while keeping the sum of each samples' band intensities equal to 100%.…”
Section: B Sample Image Synthetizationmentioning
confidence: 99%
“…In order to overcome the limited availability of gel image data, a novel Sig2Img generator neural network was fitted for the purpose of creating synthetic IEF samples. Based on prior literature [6]- [9], the band patterns of different samples were used to create synthetic signal vectors, that were then used as input for the Sig2Img model, in order to create realistic sample images.…”
Section: Introductionmentioning
confidence: 99%