Mousumi Pal

ORCID: 0000-0002-1616-3790
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About
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Research Areas
  • Oral Health Pathology and Treatment
  • Oral and Maxillofacial Pathology
  • AI in cancer detection
  • Recycling and utilization of industrial and municipal waste in materials production
  • Salivary Gland Tumors Diagnosis and Treatment
  • Bone Tumor Diagnosis and Treatments
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Spectroscopy and Chemometric Analyses
  • Head and Neck Cancer Studies
  • Pigment Synthesis and Properties
  • Skin and Cellular Biology Research
  • Glass properties and applications
  • RNA modifications and cancer
  • Sarcoma Diagnosis and Treatment
  • Optical Coherence Tomography Applications
  • Digital Imaging for Blood Diseases
  • Fish Biology and Ecology Studies
  • Advanced ceramic materials synthesis
  • Photoacoustic and Ultrasonic Imaging
  • Metabolomics and Mass Spectrometry Studies
  • Proteoglycans and glycosaminoglycans research
  • Cancer-related molecular mechanisms research
  • Tumors and Oncological Cases
  • Salivary Gland Disorders and Functions
  • Cell Image Analysis Techniques

Junagadh Agricultural University
2021

Guru Nanak Eye Centre
2020

Creative Commons
2015-2019

Jadavpur University
1997-2018

Agartala Government Medical College
2018

Indian Statistical Institute
2010-2016

Central Glass and Ceramic Research Institute
2013-2015

Indian Institute of Chemical Biology
2006

Centre for Interdisciplinary Research and Education
2006

Indian Institute of Management Calcutta
2003

Abstract Background Oral epithelial dysplasia (OED) grading suffers from several levels of uncertainties and imprecision. An index is preferred in this context to improve reliability reduce subjectivity diagnostic decision making. In study, a fuzzy logic-based disease severity (SI) formulated considering standard histopathological features used OED grading. Methods onco-pathologists were asked independently provide weights different features, according their clinical significance the...

10.1101/2025.01.20.633806 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2025-01-22

10.22214/ijraset.2025.68007 article EN International Journal for Research in Applied Science and Engineering Technology 2025-03-31

Abstract Oral cancer generally progresses from precancerous lesions such as leukoplakia (LK), lichen planus (LP) and oral submucous fibrosis (OSMF). Since few of these precancers progress to cancers; it is worth identify biological molecules that may play important roles in progression. Here, expression deregulation 7 miRNAs ( mir204, mir31, mir31*, mir133a, mir7, mir206 mir1293 ) their possible target genes 23 cancers, 18 LK, 12 LP, OSMF tissues compared 20 healthy was determined by qPCR...

10.1038/srep32735 article EN cc-by Scientific Reports 2016-09-06

Background The assessment of malignant potential oral submucous fibrosis grades vis-à-vis their progression towards malignancy is associated with expression possible multiple molecular markers. Aims To analyse p63, E-cadherin and CD105 in this premalignant pathosis a view to unravel understand the these molecules as Methods mucosal biopsies (normal, without dysplasia) were studied routine H&E, by immunohistochemistry for expression. p63 was assessed percentage positive nuclei. estimated...

10.1136/jcp.2010.078964 article EN Journal of Clinical Pathology 2010-09-27

Genetic variations at microRNA and processing genes are known to confer risk of cancer in different populations. Here, we studied eight (miRNA) four miRNA 452 controls 451 oral patients by TaqMan genotyping assays. Variant allele-containing genotypes mir-196a2 variant allele homozygous genotype Ran increased the significantly [adjusted odds ratio (OR) (95 % confidence interval (CI)) = 1.3 (1–1.7) 2.3 (1.1–4.6), respectively]. Conversely, mir-34b Gemin3 reduced OR CI) 0.7 (0.5–0.9) 0.6...

10.1007/s13277-013-1450-3 article EN Tumor Biology 2013-12-02

To describe a novel neural network based oral precancer (oral submucous fibrosis; OSF) stage detection method.The wavelet coefficients of transmission electron microscopy images collagen fibres from normal submucosa and OSF tissues were used to choose the feature vector which, in turn, was train artificial network.The trained able classify stages (less advanced advanced) after obtaining image as an input.The results obtained this proposed technique promising suggest that with further...

10.1136/jcp.2004.022095 article EN Journal of Clinical Pathology 2005-08-26

10.1016/j.jmbbm.2016.09.023 article EN Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials 2016-09-20

Oral sub-mucous fibrosis (OSF) is a pathophysiological state of oral cavity or oropharynx having high chance conversion to squamous cell carcinoma (OSCC). It involves fibrotic transformation sub-epithelial matrix along with epithelial abnormalities. The present work aims unveil the mechanistic domain regarding OSF OSCC exploring scenario hypoxia associated oxidative stress, epithelial-mesenchymal transition (EMT), metastasis and stemness acquisition. study histopathological analysis diseased...

10.1016/j.ejcb.2020.151146 article EN cc-by-nc-nd European Journal of Cell Biology 2020-12-23

Significance Existing procedures of screening subsurface cancers are either prohibitively resource-intensive and expensive or unable to provide direct quantitative estimates the relevant physiological parameters for accurate classification accommodating interpatient variabilities overlapping clinical manifestations. Here, we introduce a handheld inexpensive blood perfusion imager that provides noninvasive in situ approach distinguishing precancer, cancer, normal scenarios by precise...

10.1073/pnas.2026201119 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2022-01-04

Abstract Extracellular matrix diseases like fibrosis are elusive to diagnose early on, avoid complete loss of organ function or even cancer progression, making diagnosis crucial. Imaging the densities proteins collagen in fixed tissue sections with suitable stains and labels is a standard for staging. However, fine changes density difficult realize by conventional histological staining microscopy as fibrils finer than resolving capacity these microscopes. The dyes further blur outline add...

10.1038/s41598-024-61178-0 article EN cc-by Scientific Reports 2024-05-08

Saliva has emerged as an efficient screening sample for early stage detection of oral cancer (OC) owing to non-invasiveness coupled with high sensitivity and specificity. Although spectroscopic characterization saliva in potentially malignant disorders OPMDs) OC is extensively studied, its potential imaging biomarker sparsely explored. Further, the literature on crystalline pattern other diseases or different physiological conditions mostly qualitative. This paper proposed multifractal based...

10.1109/jsen.2021.3053262 article EN IEEE Sensors Journal 2021-01-21

This paper aims at quantitative analysis of histopathological features precancerous lesion and condition using image processing technique. The algorithm involves median low pass filtering, segmentation by adaptive region growing, optimal local thresholding, morphological operations such as opening closing gray scale binary images some numerical methods. Differentiation on the basis type level or is carried out based marker, defined a vector cancer related viz. length curvature radius...

10.1109/cbms.2006.137 article EN 2006-01-01

Evaluation of molecular pathology markers using a computer-aided quantitative assessment framework would help to assess the altered states cellular proliferation, hypoxia, and neoangiogenesis in oral submucous fibrosis could improve diagnostic interpretation gauging its malignant potentiality.Immunohistochemical (IHC) expression c-Myc, hypoxia-inducible factor-1-alpha (HIF-1α), vascular endothelial growth factor (VEGF), VEGFRII, CD105 were evaluated 58 biopsies quantification. After digital...

10.1002/hed.23962 article EN Head & Neck 2014-12-22
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