Zenodo (CERN European Organization for Nuclear Research), 2014
The biconcave shape and corresponding deformability of human RBC is an essential biological funct... more The biconcave shape and corresponding deformability of human RBC is an essential biological function. This property can be significantly altered by various pathophysiological conditions leading to the generation of morphological derivatives with abnormal shapes. Hence measuring the population morphology of blood samples, hold the key to understand the characteristics of different diseases. However the morphological studies, despite their potential clinical application, are compromised due to lack of rapid and accurate technique. In this study, we have precisely simulated the shape quantifying parameter of a RBC population, known as Morphological Index (MI) from the respective light scattering data obtained from a flow cytometer. Accordingly, the significant distribution parameters of forward and side scatter data were chosen to formulate a sophisticated artificial neural network (ANN) model with MI as output. The analysis yields a three layered network with 10 neurons in the hidden layer with MI as the sole output (R 2 = 0.982). Moreover, for a set of 10 samples exclusive to model formulation, the model was observed to predict MI with commendable accuracy (R 2 = 0.99). The proposed method was verified to rapid, cost effective and clinically simple for the measurement of population morphology of RBC.
Zenodo (CERN European Organization for Nuclear Research), 2017
Extraction of therapeutic components from any biomass feedstock is primarily dependent on the sol... more Extraction of therapeutic components from any biomass feedstock is primarily dependent on the solvent. There exists a variety of organic solvents and their combinations, which are commonly used in food and pharmaceutical industries. Out of this wide spectrum, three most commonly used mixed-solvents of chloroform-methanol, hexane-isopropanol and ethanol-diethyl ether were chosen to extract the therapeutic components from the edible part of Indian fresh water mussel Lamellidens marginalis. In addition to the standard physico-chemical characterizations of the extracts, an objective function was formulated to sort out the most potent solvent system. Instead of only accounting the standard rating parameters, therapeutic potentials, like anti-oxidant and anti-inflammatory properties of the extracts were quantified and incorporated in the objective function along with the yield, solvent cost and pertinent hazard potentials. The proposed method can be directly used to choose the most appropriate solvent in extraction of valuable components from any complex biomass feedstock.
Morphology of erythrocyte membrane has been recognized as an alternative biomarker of several pat... more Morphology of erythrocyte membrane has been recognized as an alternative biomarker of several patho-physiological states. Numerous attempts have been made to upgrade the existing method of primitive manual counting, particularly exploring the light scattering properties of erythrocyte. All the techniques are at best semi-empirical and heavily rely on the effectiveness of the statistical correlations. Precisely, this is due to the lack of a non-empirical scale of the so-called "morphological scores". In this article, fractal dimension of erythrocyte membrane has been used to formulate a suitable scoring scale. Subsequently, the rapid experimental output of flow-cytometry has been functionally related to the mean morphological quantifier of the whole cell population via an optimum neural network model (R = 0.98). Moreover, the fractal dimension has been further demonstrated to be an important parameter in early detection of an abnormal patho-physiological state, even without...
Abstract Morphological study of Red Blood Cell is still reliant on microscopic imaging followed b... more Abstract Morphological study of Red Blood Cell is still reliant on microscopic imaging followed by manual counting, which is associated with personal bias, time and labour. In order to overcome these drawbacks, RBC morphology is quantified using image analysis tool. Because of being objective, reliable and reproducible, comparison of cell number between specimens is considerably more accurate and time saving (2 to 10 times lesser) with automatic counting than with manual counting. In this present work, normal and poikilocytic agent treated samples have been analyzed by microscopy and respective number of shape derivatives was calculated using standard image analysis protocols.
Biochimica et Biophysica Acta (BBA) - Biomembranes, 2016
Erythrocyte morphology is gaining importance as a powerful pathological index in identifying the ... more Erythrocyte morphology is gaining importance as a powerful pathological index in identifying the severity of any blood related disease. However, the existing technique of quantitative microscopy is highly time consuming and prone to personalized bias. On the other hand, relatively unexplored, complementary technique based on flow cytometry has not been standardized till date, particularly due to the lack of a proper morphological scoring scale. In this article, we have presented a new approach to formulate a non-empirical scoring scale based on membrane roughness (Rrms) data obtained from atomic force microscopy. Subsequently, the respective morphological quantifier of the whole erythrocyte population, commonly known as morphological index, was expressed as a function of highest correlated statistical parameters of scattered signal profiles generated by flow cytometry. Feed forward artificial neural network model with multilayer perceptron architecture was used to develop the intended functional form. High correlation coefficient (R(2)=0.95), even for model-formulation exclusive samples, clearly indicates the universal validity of the proposed model. Moreover, a direct pathological application of the proposed model has been illustrated in relation to patients, diagnosed to be suffering from a wide variety of cancer.
Zenodo (CERN European Organization for Nuclear Research), 2014
The biconcave shape and corresponding deformability of human RBC is an essential biological funct... more The biconcave shape and corresponding deformability of human RBC is an essential biological function. This property can be significantly altered by various pathophysiological conditions leading to the generation of morphological derivatives with abnormal shapes. Hence measuring the population morphology of blood samples, hold the key to understand the characteristics of different diseases. However the morphological studies, despite their potential clinical application, are compromised due to lack of rapid and accurate technique. In this study, we have precisely simulated the shape quantifying parameter of a RBC population, known as Morphological Index (MI) from the respective light scattering data obtained from a flow cytometer. Accordingly, the significant distribution parameters of forward and side scatter data were chosen to formulate a sophisticated artificial neural network (ANN) model with MI as output. The analysis yields a three layered network with 10 neurons in the hidden layer with MI as the sole output (R 2 = 0.982). Moreover, for a set of 10 samples exclusive to model formulation, the model was observed to predict MI with commendable accuracy (R 2 = 0.99). The proposed method was verified to rapid, cost effective and clinically simple for the measurement of population morphology of RBC.
Zenodo (CERN European Organization for Nuclear Research), 2017
Extraction of therapeutic components from any biomass feedstock is primarily dependent on the sol... more Extraction of therapeutic components from any biomass feedstock is primarily dependent on the solvent. There exists a variety of organic solvents and their combinations, which are commonly used in food and pharmaceutical industries. Out of this wide spectrum, three most commonly used mixed-solvents of chloroform-methanol, hexane-isopropanol and ethanol-diethyl ether were chosen to extract the therapeutic components from the edible part of Indian fresh water mussel Lamellidens marginalis. In addition to the standard physico-chemical characterizations of the extracts, an objective function was formulated to sort out the most potent solvent system. Instead of only accounting the standard rating parameters, therapeutic potentials, like anti-oxidant and anti-inflammatory properties of the extracts were quantified and incorporated in the objective function along with the yield, solvent cost and pertinent hazard potentials. The proposed method can be directly used to choose the most appropriate solvent in extraction of valuable components from any complex biomass feedstock.
Morphology of erythrocyte membrane has been recognized as an alternative biomarker of several pat... more Morphology of erythrocyte membrane has been recognized as an alternative biomarker of several patho-physiological states. Numerous attempts have been made to upgrade the existing method of primitive manual counting, particularly exploring the light scattering properties of erythrocyte. All the techniques are at best semi-empirical and heavily rely on the effectiveness of the statistical correlations. Precisely, this is due to the lack of a non-empirical scale of the so-called "morphological scores". In this article, fractal dimension of erythrocyte membrane has been used to formulate a suitable scoring scale. Subsequently, the rapid experimental output of flow-cytometry has been functionally related to the mean morphological quantifier of the whole cell population via an optimum neural network model (R = 0.98). Moreover, the fractal dimension has been further demonstrated to be an important parameter in early detection of an abnormal patho-physiological state, even without...
Abstract Morphological study of Red Blood Cell is still reliant on microscopic imaging followed b... more Abstract Morphological study of Red Blood Cell is still reliant on microscopic imaging followed by manual counting, which is associated with personal bias, time and labour. In order to overcome these drawbacks, RBC morphology is quantified using image analysis tool. Because of being objective, reliable and reproducible, comparison of cell number between specimens is considerably more accurate and time saving (2 to 10 times lesser) with automatic counting than with manual counting. In this present work, normal and poikilocytic agent treated samples have been analyzed by microscopy and respective number of shape derivatives was calculated using standard image analysis protocols.
Biochimica et Biophysica Acta (BBA) - Biomembranes, 2016
Erythrocyte morphology is gaining importance as a powerful pathological index in identifying the ... more Erythrocyte morphology is gaining importance as a powerful pathological index in identifying the severity of any blood related disease. However, the existing technique of quantitative microscopy is highly time consuming and prone to personalized bias. On the other hand, relatively unexplored, complementary technique based on flow cytometry has not been standardized till date, particularly due to the lack of a proper morphological scoring scale. In this article, we have presented a new approach to formulate a non-empirical scoring scale based on membrane roughness (Rrms) data obtained from atomic force microscopy. Subsequently, the respective morphological quantifier of the whole erythrocyte population, commonly known as morphological index, was expressed as a function of highest correlated statistical parameters of scattered signal profiles generated by flow cytometry. Feed forward artificial neural network model with multilayer perceptron architecture was used to develop the intended functional form. High correlation coefficient (R(2)=0.95), even for model-formulation exclusive samples, clearly indicates the universal validity of the proposed model. Moreover, a direct pathological application of the proposed model has been illustrated in relation to patients, diagnosed to be suffering from a wide variety of cancer.
Uploads
Papers by Sayari Ghosh