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Santi Rahmawati, S.T., M.S.M.
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Journal of Healthcare and Biomedical Science (JHBS)
Published by Research Synergy Foundation
ISSN : 29863058     EISSN : 29863376     DOI : https://doi.org/10.31098/jhbs
Core Subject : Health, Science,
Biochemistry, Genetics & Molecular Biology Immunology & microbiology Medicine & Pharmacology Nursing Public Health
Journal of Healthcare and Biomedical Science (JHBS) is an open access, peer-reviewed journal that encompasses all publication of novel research in healthcare and biomedical sciences, with an emphasis on the molecular studies of biomedical problems and molecular mechanisms. The scope of this journal is Anatomic, Biochemistry/ Medical Biochemistry, Pathology, Genetics, Immunology, Microbiology, Virology, Molecular, cellular and cancer biology, Neuroscience, Pharmacology, Physiology, Health engineering (Health system, Health regulation, Health issues, Personal health, Public health, Health professional, Health education, Health nutrition, social care, sleep health, international health, Social and behavioral science), Epidemiology, Nursing, Public health, Physical therapy, Medicine, Pharmacy, and Biostatistic.
Arjuna Subject : Kedokteran - Biokimia, Kedokteran
Articles 42 Documents
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Development, Characterization, and Comparative Analysis of Halal-Compliant Fortified Caulerpa lentillifera Jelly with Enhanced Nutritional and Antioxidant Properties Nor Atikah Husna Ahmad Nasir; Mohd Hafis Yuswan; Nor Nadiah Abd Karim Shah; Kaiser Mahmood; Aswir Abd Rashed; Kazunori Kadota; Yus Aniza Yusof
Journal of Healthcare and Biomedical Science Vol. 4 No. 2 (2026): Journal of Healthcare and Biomedical Science (JHBS)
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/jhbs.v4i2.4341

Abstract

Oxidative stress is linked to many chronic diseases, making antioxidant-rich functional foods important for health. This study aims to evaluate the nutritional composition and antioxidant capacity of fortified C. lentillifera jelly (FJ), control jelly (CJ), and commercial jelly (MJ) using mineral analysis, proximate analysis, and antioxidant assays, followed by Principal Component Analysis (PCA). The fortified jelly, formulated without gelatin or other non-Halal ingredients, ensures compliance with Halal dietary requirements while maintaining desirable product characteristics. The results showed that FJ exhibited enhanced antioxidant activity, with DPPH and ABTS scavenging capacities of 68% and 45%, respectively. These antioxidant activities indicate the ability of the fortified jelly to scavenge free radicals, which are implicated in cellular damage and oxidative stress-related diseases. In addition, FJ had lower sodium content than MJ, suggesting its potential as a healthier alternative. The relatively lower moisture content in FJ (50.34%) compared to MJ (88.28%) contributed to a higher concentration of nutrients and carbohydrates within the product matrix. PCA explained 97.4% of the total variance, clearly differentiating the jelly samples based on their compositional attributes. PC1 was primarily associated with potassium, fat, and ash, while PC2 was influenced by antioxidant activity and selected minerals, including magnesium and zinc, which were more prominent in FJ. Overall, these findings suggest that C. lentillifera-fortified jelly may help reduce oxidative stress and support better health as a Halal functional food.
A Data-Centric Approach to HEK Cell Microscopic Image Segmentation using Multi-Scaling U-Net Syiham Fakhrulradzi Abdul Aziz; Ahmad Syahrin Idris; Siti Fauziah Toha; Izyan Mohd Idris; Muhammad Fauzi Daud; Azam Ahmad Bakir; Low Siow Yong
Journal of Healthcare and Biomedical Science Vol. 4 No. 2 (2026): Journal of Healthcare and Biomedical Science (JHBS)
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/jhbs.v4i2.4402

Abstract

Accurate and reproducible cell culture monitoring is important in biomedical research and regenerative medicine, yet manual assessment of cell confluency and morphology remains subjective and prone to inter-observer variability. Although deep learning approaches have been widely applied to cell segmentation, their systematic application to Human Embryonic Kidney (HEK) cells using data-centric methodologies remains underexplored. This study addresses this gap by implementing a Multi-Scaling U-Net (MSUNet) architecture combined with a data-centric workflow that emphasizes improving data quality through Contrast Limited Adaptive Histogram Equalization (CLAHE) preprocessing, Total Variation Denoising (TVD), and iterative expert-guided annotation refinement. The scope of analysis was limited to HEK293T cell images captured at 10x magnification using phase-contrast microscopy. The optimized model achieved an Intersection over Union (IoU) of 0.8980 after applying the data-centric approach, representing a 15.1% relative improvement over the baseline model trained without preprocessing or annotation refinement. These findings provide empirical evidence that systematic data quality improvement constitutes a key contributing factor to segmentation performance, offering a reproducible methodology for automated cell confluency measurement in resource-constrained laboratory settings.

Page 5 of 5 | Total Record : 42

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