◾ Calorimetric Approaches to Studying Complex Protein Structure–Function–Stability Relationships in Conformational Diseases: The Case of Cystathionine β-Synthase

doi:10.1201/b20161-23

Cited by 2 publications

(1 citation statement)

References 28 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These include microscopic techniques, image analysis, spectrochemical methods 24 including Fourier transform-infrared spectroscopy 38 , electrochemical 39 , calori-metric 40 and piezoelectric 41 approaches. However, rarely any effort has been applied to analyse the architecture of emerging biofilms from a hospital environment that can be of prime utility to healthcare professionals in administering the requisite antibiotics at the earliest opportunity.…”

Section: Fundamentals Of Bacterial Growth and Biofilm Formationmentioning

confidence: 99%

Monitoring of Wild Pseudomonas Biofilm Strain Conditions Using Statistical Characterization of Scanning Electron Microscopy Images

Sinha

Das

Tarafdar

et al. 2017

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Abstract:The present paper proposes a novel method of quantification of the variation in biofilm architecture, in correlation with the alteration of growth conditions that include, variations of substrate and conditioning layer. The polymeric biomaterial serving as substrates are widely used in implants and indwelling medical devices, while the plasma proteins serve as the conditioning layer. The present method uses descriptive statistics of FESEM images of biofilms obtained during a variety of growth conditions. We aim to explore here the texture and fractal analysis techniques, to identify the most discriminatory features which are capable of predicting the difference in biofilm growth conditions. We initially extract some statistical features of biofilm images on bare polymer surfaces, followed by those on the same substrates adsorbed with two different types of plasma proteins, viz. Bovine serum albumin (BSA) and Fibronectin (FN), for two different adsorption times. The present analysis has the potential to act as a futuristic technology for developing a computerized monitoring system in hospitals with automated image analysis and feature extraction, which may be used to predict the growth profile of an emerging biofilm on surgical implants or similar medical applications.

show abstract