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95 articles for “Cell imaging”
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Object Detection Using Deep Learning Algorithm
Abstract: Object detection is a computer technology related to computer vision and image processing that deals with detecting images of semantic objects of a certain class (for example cars, buildings, etc.) in digital images and videos. To detect objects, there are many algorithms available, in this paper YOLO algorithm is explored for detection of objects on real-time data. You Only Look Once (YOLO) is a state-of-the-art real time object detection system …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 2, 2021 · pp. 1–13 Read article
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Effect of Annealling on Optical Band Gap of Fe2O3 Thin Films on Amorphos Transparent Glass Substrate by Spray Pyrolysis Method
Abstract: The Fe 2 O 3 thin film has widely used photo-electrochemical cells. In this paper, the optical properties like band gap of thin films is depend on annealed temperature at 100 o C and 200 o C was discussed. The optical property of Fe 2 O 3 are studied by UV- Vis spectroscopy .The optical band gap decreased after increasing annealing temperature. The refractive index of Fe 2 O 3 …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 10, Issue 2, 2023 · pp. 25–29 Read article
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Complementary Metal Oxide Semiconductor Readout Integrated Circuit for Imaging Applications
Abstract: In this paper presents a novel continuous-time simultaneous-readout scheme for active imaging systems based on orthogonal modulation of photo detector signals. The superimposed-continuous-time approach presented here differs from the conventional scheduled-discrete-time scheme in that the photo detector signals are summed in a common bus concurrently and then converted to voltage levels for digitization. We illustrate that our proposed architecture may be profitable. Predominantly, in solicitations, the bandwidth necessities for a …
Published in Journal of Semiconductor Devices and Circuits · Vol. 2, Issue 2, 2015 · pp. 5–8 Read article
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Bioconjugates and Biohybrid Polymers: Intricate Cellular Integration Methods and Sophisticated Biofunctionalization Techniques for Tailored Properties in Medical Contexts
Abstract: Bioconjugates are made when biological molecules are covalently linked to manufactured polymers. They can be used in many ways for imaging, diagnosis, and specific drug delivery. Getting perfect cellular fusion is very important for how well they work. Biomolecules can be attached to polymer scaffolds in a controlled way using techniques like click chemistry and site-specific conjugation. This makes sure that the molecules connect optimally with their biological targets. Using …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 227–243 Read article
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Clinical Study of Role of Rasayana as a Pre adjuvant and Post Treatment of Chemotherapy in the Management of Carcinoma
Abstract: Integrative oncology is a novel form of medical theory which views cancer not merely as an accumulation of genetically transformed immature cells, but sum total of feelings, images, actions evoked by cancer. Not only by those afflicted with the disease, but also by their loved ones. This has been very well understood by Ayurveda. The important tool to manage the adverse reaction is Rasayana. Rasayana through their nutrient value improves …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 11, Issue 1, 2022 · pp. 5–13 Read article
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Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers
Abstract: Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis. This review synthesizes current research applications of ML across six key domains. Positron emission tomography (PET), single-photon emission computed tomography (SPECT), and targeted radionuclide therapy are examples of nuclear medicine modalities that generate high- dimensional, quantitative datasets that are particularly well-suited for machine learning (ML)-driven analysis. These imaging methods provide …
Published in Journal of Nuclear Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 19–24 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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WBC DIAGNOSER
Abstract: Today's society frequently uses a complete blood count (CBC) blood test to look for infections,allergies, blood clotting issues, anemia, and leukemia. A microscope is used to look for problems in theblood sample after a physical examination to count the number of blood cells. Yet, because of thelength of time involved, there is a possibility that someone will make a mistake. A white blood cell(WBC) count can give clinicians crucial information …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 1, 2023 · pp. 1–8 Read article
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A Review of Semiconductor Solar PV Cell and Development of Solar Radiation Estimation Models
Abstract: Today’s life could not be imagined without energy (Power). It has become an integral part of day to day life. Traditionally, dependency was there on conventional sources of energy like coal, hydroelectric etc. But they are limited resources; also, they offer residue or pollution to the environment which is not desirable. These are the main reasons that the researchers inclined themselves towards the maximum exploration and make optimal use of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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Magnetic ZnxFe2–xO3 Nanoparticles Enhanced Nanobiosensor Integrated with MOSFETs for Efficient Detections of Biomolecules and Cancerous Cells
Abstract: The human brain is mostly responsible for intelligence and consciousness. An artificial equivalence of this action is nanobiosensor, which is used in artificial intelligence. The need for nanodiagnostics platforms for detecting diseases at the genetic, molecular, and cellular level has triggered the development of nanobiosensors integrated with MOSFETs. This device enables simple, inexpensive rapid tests, accurate imaging methods, and accurate molecular diagnosis at point-of-care (POC). This device is seen as …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 33–44 Read article
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Magnetic and Radioactive Nanoparticles for Improved Theranostics and AI Assisted Radiation Therapy
Abstract: Nanoparticles based therapeutic and theranostics technique is becoming an active area of research in nanomedicine. The sensitivity, biocompatibility, and stability of magnetic and radioactive nanoparticles determine their functionality. This research highlights the impacts of magnetic and radioactive nanoparticles on therapeutic techniques namely, cell therapy, gene therapy, and tissue regeneration. Then, it is intended to brief a principal role of these therapeutic techniques to envisage theranostics medicine and radiation therapy using …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 10–21 Read article
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Detection and Diagnosis of Colorectal Cancer Using Image Processing
Abstract: Colorectal Cancer gets developed either in colon or in the rectum inside the large intestine, due to the abnormal growth of the cells. For detection and screening of colon cancer, Computed Tomography (CT) Colonography is a valid technique in which digital images of rectum polyps have been investigated. An improved gradient vector flow (IGVF) and various segmentation techniques of colorectal cancer detection are discussed in this paper. The segmented candidates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 1, 2017 · pp. 11–14 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Current Aspects of Nanomedicine for Cancer
Abstract: Nanotechnology is an advanced as well as budding branch of the science. It involves the studies of materials at the nano scale. It has demonstrated its enormous applications in almost every discipline like in biotechnology, medicines, electronics, etc. Among its nanotechnology, when applied to medical specialties than it is called nanomedicines. Nanomedicines are surprisingly effective in case of cancer. Nanomedicines provide better drug delivery as well as more efficacious against …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 3, Issue 1, 2014 · pp. 1–4 Read article
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Lung Cancer Detection and Classification Using Deep Learning
Abstract: Lung cancer is a disease that can be effectively treated if detected early. Various technologies, such as magnetic resonance imaging, isotopes, X-rays, and computed tomography scans, are employed for diagnosis. One of the most crucial strategies in combating cancer is early detection, which greatly enhances a patient’s likelihood of survival; this is where artificial intelligence plays a significant role. The approach proposed in this study leverages historical medical data to …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 3, 2024 · pp. 11–17 Read article
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Classification of Mammogram Images Using Multi-SVM
Abstract: Bosom malignant growth is normal in ladies these days. It first starts when cells in the bosom start to develop wild. These cells for the most part structure a tumor that will frequently be seen on an x-beam or felt as an irregularity. Cells in about any piece of the body can become malignant in growth and can spread to different regions of the body. In the current framework, rule …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 32–51 Read article
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Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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Skin Cancer Detection System Based on Machine Learning for Recognition of Cancerous Images
Abstract: Skin cancer ranks among the most prevalent types of cancer globally and poses significant risks when left untreated. Skin cancer arises when abnormal cells proliferate uncontrollably in the skin. This uncontrolled growth can be triggered by genetic mutations, exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds, or various other factors. In this, the early detection of cancer plays a crucial role in treatment and …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Recent Advances in Nanobiotechnology: Applications and Future Perspectives
Abstract: Nanobiotechnology is a rapidly growing field that combines the principles of nanotechnology with biology, medicine, and biotechnology. This review article provides an overview of recent advances in nanobiotechnology and their applications in various fields, including drug delivery, imaging, biosensors, tissue engineering, and nanomedicine. The article also discusses the challenges and future prospects of nanobiotechnology. This review article provides an overview of recent advances in nanobiotechnology and their applications in various …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 24, Issue 3, 2022 · pp. 43–47 Read article
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Supportive Therapy Play a Vital Role in the Treatment of Leukemia: A Review
Abstract: Leukemia is a major burden worldwide. The anomalous production of white blood cells (WBC) is responsible for producing leukemia; these cells are also known as blasts. A study indicated that thousands of patients are detected every year with leukemia risk worldwide. The risk factor including chemical exposure, ionizing radiations, cigarette smoking is the major causes for developing leukemia. There are four types of leukemia and number of genes involved are …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 8, Issue 3, 2018 · pp. 1–8 Read article