A5103210031- Cell Image Analysis Techniques
- Medical Image Segmentation Techniques
- Neuroscience and Neuropharmacology Research
- Digital Image Processing Techniques
- Cerebrovascular and Carotid Artery Diseases
- AI in cancer detection
- Advanced Fluorescence Microscopy Techniques
- Intracranial Aneurysms: Treatment and Complications
- Cellular Mechanics and Interactions
- Medical Imaging and Analysis
- Genetics, Bioinformatics, and Biomedical Research
- Neuroinflammation and Neurodegeneration Mechanisms
- DNA and Nucleic Acid Chemistry
- Generative Adversarial Networks and Image Synthesis
- Organic Chemistry Cycloaddition Reactions
- Chemical Synthesis and Analysis
- Digital Imaging for Blood Diseases
- Anatomy and Medical Technology
- Brain Tumor Detection and Classification
- 3D Shape Modeling and Analysis
- Stress Responses and Cortisol
- Image Processing and 3D Reconstruction
- Biochemical and Molecular Research
- Robot Manipulation and Learning
- Advanced Neural Network Applications
University of Engineering & Management
2023-2024
Jadavpur University
1993-2024
University of Otago
2024
Adamas University
2021
Indian Institute of Technology Kanpur
2014
Ketamine is an N-methyl-d-aspartate receptor antagonist that has gained wide attention as a potent antidepressant. It also been recently reported to have prophylactic effects in animal models of depression and anxiety. Alterations neuroplasticity different brain regions; such the hippocampus; prefrontal cortex; amygdala; are hallmark stress-related disorders; changes may endure beyond treatment symptoms. The present study investigated whether injection ketamine on structural plasticity mice...
The observation and analysis of dendritic spines morphological changes poses a major challenge in neuroscience studies. alterations their density and/or morphology are indicators the cellular processes involved neural plasticity underlying learning memory, symptomatic neuropsychiatric disorders. Despite ongoing intense investigations imaging approaches, relationship between spine synaptic function is still unknown. existing quantitative analyses difficult to perform require extensive user...
Abstract Background Bioimaging techniques offer a robust tool for studying molecular pathways and morphological phenotypes of cell populations subjected to various conditions. As modern high-resolution 3D microscopy provides access an ever-increasing amount high-quality images, there arises need their analysis in automated, unbiased, simple way. Segmentation structures within the nucleus, which is focus this paper, presents new layer complexity form dense packing significant signal overlap....
Robust semantic segmentation of tumour micro-environment is one the major open challenges in machine learning enabled computational pathology. Though deep based systems have made significant progress, their task agnostic data driven approach often lacks contextual grounding necessary biomedical applications. We present a novel fuzzy water flow scheme that takes coarse output base framework to then provide more fine-grained and instance level robust output. Our two stage synergistic method,...
The dendritic spines play a crucial role in learning and memory processes, epileptogenesis, drug addiction, postinjury recovery. shape of the spine is morphological key to understand process. classification based on their shapes but major questions are how changes time, synaptic strength changes, there correlation between strength? Because classes by during activation time dependent, forward-directed autoregressive hidden Markov model (ARHMM) can be used these changes. It also more...
Abstract Background Bioimaging techniques offer a robust tool for studying molecular pathways and morphological phenotypes of cell populations subjected to various conditions. As modern high resolution 3D microscopy provides access an ever-increasing amount quality images, there arises need their analysis in automated, unbiased simple way. Segmentation structures within nucleus, which is the focus this paper, presents new layer complexity form dense packing significant signal overlap. At...
Hemodynamic analyses of cerebrovasculature help in clinical diagnosis various cerebrovascular diseases. Individual vascular geometry influence hemodynamic factors as well one's health. In this work we present a new 3-D digital flow algorithm for quick simulation hypothetical fluid the mathematically generated approximate phantoms. The starts from user initiated start point and iteratively wets object region until convergence or pre-defined end is reached. We have also developed customized...
Abstract Three dimensional segmentation and analysis of dendritic spines involve two major challenges: 1) how to segment individual from the dendrites 2) quantitatively assess morphology spines. We developed a software named 3dSpAn address these issues by implementing our previously published 3D multiscale opening algorithm in shared intensity space using effective morphological features for spine plasticity analysis. consists four modules: Preprocessing ROI selection, Intensity thresholding...
We present new methods for segmentation of hippocampal dendritic spines in 3D confocal light microscopy and computation 3-D morphological attributes characterizing spine plasticity. The are applied on images from dissociated cultures. method is based the principle multi-scale opening which uses a set user-specified seeds iteratively segments structures at different scales starting large scale progressing toward finer scales. accuracy evaluated by comparing its results with gold standard...
To predict and assess the cerebrovascular diseases anomaly detection in cerebrovasculature is a crucial job.Classification of anomalous part human structure which will lead to several vascular disease, can help detect or same.Aneurysm one disease causes number deaths worldwide so it very for clinicians it.It reasonable assume that rupture risk assessment be improved by incorporating hemodynamic analysis as commonly thought play an important role mechanisms development, progression,...