Balancing Image Quality and Compression Factor for Special Stains Whole Slide Images

The objective is to find a practical balance between quality and performance for daily high volume whole slide imaging. We evaluated whole slide images created by various scanners at different compression factors to determine the best suitable quality factor (QF) needed for pathological images of special stains. Method: We scanned two sets of eight special stains slides each at 0.50 μm/pixel resolution in Hamamatsu scanner at six and five QF levels respectively to generate 72 images which were observed at a calibrated monitor by imaging specialists, a histo-technician, and a pathologist to find the most suitable QF level for special stains in digital slides. Results: Most special stains images were acceptable at QF 30 except for the stain Reticulin where the lowest acceptable QF was 50. The compression of images from QF 90 to QF 50 reduced the size of the images by 62.73%. Conclusion: 0.50 μm/pixel images at QF 50 or above were found suitable 12 special stain

Human protein reference database—2006 update

Human Protein Reference Database (HPRD) () was developed to serve as a comprehensive collection of protein features, post-translational modifications (PTMs) and protein–protein interactions. Since the original report, this database has increased to >20 000 proteins entries and has become the largest database for literature-derived protein–protein interactions (>30 000) and PTMs (>8000) for human proteins. We have also introduced several new features in HPRD including: (i) protein isoforms, (ii) enhanced search options, (iii) linking of pathway annotations and (iv) integration of a novel browser, GenProt Viewer (), developed by us that allows integration of genomic and proteomic information. With the continued support and active participation by the biomedical community, we expect HPRD to become a unique source of curated information for the human proteome and spur biomedical discoveries based on integration of genomic, transcriptomic and proteomic data

Analyzing sentiments of human through twitter comments

This disquisition is to find the people behaviour through their comments or post on twitter what actually like or dislike about a particular product or topic . In this we use Hybrid algorithm to build more well grounded and sturdy process. In this growing epoch of online community users. A huge numeral of people every day pin (up) their point of view in the form of tweets. This approach is useful to organization in many different ways who get introduced or marked in the tweet. By classifying those tweets into positive or negative according to the sentences by converting the unstructured tweet in structured format .tweets are going through cleaning phase first of all and after that the retrieve of tweets have been adept through libraries by using the API of Twitter

Balancing Image Quality and Compression Factor for Special Stains Whole Slide Images

The objective is to find a practical balance between quality and performance for daily high volume whole slide imaging. We evaluated whole slide images created by various scanners at different compression factors to determine the best suitable quality factor (QF) needed for pathological images of special stains

Maternal death due to COVID-19, truth or a myth: A narrative review and experience from a teaching hospital in India

The course of coronavirus disease-2019 (COVID-19) in pregnancy is unpredictable with outcome trends ranging from milder disease with zero mortality to severe forms and deaths in different parts of the world. We did a comprehensive review of the literature to understand maternal deaths due to COVID-19 in detail. The search was conducted in the PubMed, Embase, and Google Scholar databases, using the keywords “maternal mortality”, “maternal death”, “COVID-19”, “septic shock” and “DIC”. The search included original articles, review articles, case reports published till date. We found varying case fatality rates ranging from 0.1% to 12.9%. There are various predictors of maternal death, notably the presence of symptoms, comorbidities, severe disease with cytokine storm and multi-organ dysfunction. We also report higher maternal deaths from low-resource regions owing to gaps in expected and delivered maternal care. While reviewing our institutional data, we found 3 maternal deaths related to COVID-19 in pregnancy. We discussed our experience at our institute of three COVID-19 related maternal mortalities to add evidence to the present data. Most maternal deaths occurred in postpartum period. Late referral, loss to follow-up and inadequate care were important determinants of maternal mortality. We concluded that pregnancy cases with or without complications must be considered high risk and addressed judiciously beginning from infection prevention, early diagnosis, disease categorization, and multidisciplinary approach of management to prevent morbidity and mortality. We strongly suggest strengthening the health care delivery system to save pregnant women from dying, particularly in low-resource countries

Not Available

Not AvailableThe present study was conducted to estimate the variation in bio-chemical parameters among eight different parts viz. bud end cortex, bud end medulla, central cortex, central medulla, pith, stem end cortex, stem end medulla and peel of potato tuber of processing varieties. Concentration of dry matter, reducing sugar, sucrose and starch content were higher in cortical region than in medullar region of stem end, bud end and central portion. Variety Kufri Chipsona-1 had maximum dry matter content in stem end cortex (SEC 30.34 %), followed by Kufri Frysona (SEC 27.71 %). Mean reducing sugar values were comparatively more in bud end cortex (BEC 111.3 mg/100 g Fresh Weight) and lowest in stem end medulla (SEM 44.05 mg/100 g FW). Bio-chemical contents varied considerably within different parts of tuber as well as in different genotypes. The information generated in this study can help processors for effective utilization of potato for various types of processing products viz., chips and French fries.Not Availabl

Not Available

Not AvailableThe present study was conducted to estimate the variation in bio-chemical parameters among eight different parts viz. bud end cortex, bud end medulla, central cortex, central medulla, pith, stem end cortex, stem end medulla and peel of potato tuber of processing varieties. Concentration of dry matter, reducing sugar, sucrose and starch content were higher in cortical region than in medullar region of stem end, bud end and central portion. Variety Kufri Chipsona-1 had maximum dry matter content in stem end cortex (SEC 30.34 %), followed by Kufri Frysona (SEC 27.71 %). Mean reducing sugar values were comparatively more in bud end cortex (BEC 111.3 mg/100 g Fresh Weight) and lowest in stem end medulla (SEM 44.05 mg/100 g FW). Bio-chemical contents varied considerably within different parts of tuber as well as in different genotypes. The information generated in this study can help processors for effective utilization of potato for various types of processing products viz., chips and French fries.Not Availabl