Image denoising in fluorescence microscopy using feature based gradient reconstruction.

Purpose: The utility of fluorescence microscopy imaging comes with the challenge of low resolution acquisitions, which severely limits information extraction and quantitative analysis. Image denoising is a technique that aims to remove noise from microscopy acquisitions by taking into account prior statistics of the corrupting noise. In this work, we propose an image denoising technique for fluorescence microscopy imaging.

Geo-environmental factors and the effectiveness of mulberry leaf extract in managing malaria.

Malaria prevalence has become medically important and a socioeconomic impediment for the endemic regions, including Purulia, West Bengal. Geo-environmental variables, humidity, altitude, and land use patterns are responsible for malaria. For surveillance of the endemic nature of Purulia's blocks, statistical and spatiotemporal factors analysis have been done here.

Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising.

Image denoising is an important preprocessing step in low-level vision problems involving biomedical images. Noise removal techniques can greatly benefit raw corrupted magnetic resonance images (MRI). It has been discovered that the MR data is corrupted by a mixture of Gaussian-impulse noise caused by detector flaws and transmission errors.

Implications of Population Screening for Thalassemias and Hemoglobinopathies in Rural Areas of West Bengal, India: Report of a 10-Year Study of 287,258 Cases.

Thalassemia and hemoglobinopathies are the most common cause of high morbidity and mortality in India. Detection of carriers and premarital counseling play an important role in preventing the birth of a thalassemic child. The present study aimed to detect large numbers of asymptomatic carriers in rural areas of West Bengal, India.

A Feature based Reconstruction Model for Fluorescence Microscopy Image Denoising.

The advent of Fluorescence Microscopy over the last few years have dramatically improved the problem of visualization and tracking of specific cellular objects for biological inference. But like any other imaging system, fluorescence microscopy has its own limitations. The resultant images suffer from the effect of noise due to both signal dependent and signal independent factors, thereby limiting the possibility of biological inferencing.

Enzymatic hydrolyzed feather peptide, a welcoming drug for multiple-antibiotic-resistant Staphylococcus aureus: structural analysis and characterization.

This study aimed to explore the bactericidal activity of a feather-degraded active peptide against multiple-antibiotic-resistant (MAR) Staphylococcus aureus. An antibacterial peptide (ABP) was isolated from the chicken feathers containing fermented media of Paenibacillus woosongensis TKB2, a keratinolytic soil isolate. It was purified by HPLC, and its mass was found to be 4666.

Micro-organisms Associated with Febrile Neutropenia in Patients with Haematological Malignancies in a Tertiary Care Hospital in Eastern India.

There is paucity of information from eastern India with regard to observed dominant micro-organisms causing febrile neutropenia (FN) in patients with haematological malignancies. To identify the prevalence of pathogenic microorganisms associated with FN. A total number of 268 episodes of FN were analysed from September'2010 to October'2013.