Clinical and biomedical applications of lensless holographic microscopy
Many clinical procedures and biomedical research workflows rely on microscopy, including
diagnosis of cancer, genetic disorders, autoimmune diseases, infections, and quantification …
diagnosis of cancer, genetic disorders, autoimmune diseases, infections, and quantification …
Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms
This study addresses the critical issue of anemia detection using machine learning (ML)
techniques. Although a widespread blood disorder with significant health implications …
techniques. Although a widespread blood disorder with significant health implications …
Lensless shadow microscopy-based shortcut analysis strategy for fast quantification of microplastic fibers released to water
Y Su, C Yang, Y Peng, C Yang, Y Wang, Y Wang… - Water Research, 2024 - Elsevier
Fast quantification is the primary challenge in monitoring microplastic fiber (MPF) pollution in
water. The process of quantifying the number of MPFs in water typically involves filtration …
water. The process of quantifying the number of MPFs in water typically involves filtration …
Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression
Event-based cameras are novel bio-inspired vision sensors that do not follow the
mechanism of traditional frame-based cameras. In the field of data acquisition, the …
mechanism of traditional frame-based cameras. In the field of data acquisition, the …
Impedimetric Detection of Cancer Markers Based on Nanofiber Copolymers
The sensitive determination of folate receptors (FRs) in the early stages of cancer is of great
significance for controlling the progression of cancerous cells. Many folic acid (FA)-based …
significance for controlling the progression of cancerous cells. Many folic acid (FA)-based …
Improving cellular analysis throughput of lens-free holographic microscopy with circular Hough transform and convolutional neural networks
In recent years, lens-free Digital In-Line Holographic Microscopy (DIHM) has become an
essential tool for in-vitro experiments. Specifically, it offers many innovative approaches to …
essential tool for in-vitro experiments. Specifically, it offers many innovative approaches to …
Deep learning optimization for small object classification in lensfree holographic microscopy
CJ Potter, S Sreevatsan, E McLeod - Optics Express, 2024 - opg.optica.org
Lensfree holographic microscopy is a compact and cost-effective modality for imaging large
fields of view with high resolution. When combined with automated image processing, it can …
fields of view with high resolution. When combined with automated image processing, it can …
Intelligent biosignal processing in wearable and implantable sensors
Wearable technology including sensors, sensor networks, and the associated devices have
opened up space in a variety of applications. Long-term, noninvasive, and nonintrusive …
opened up space in a variety of applications. Long-term, noninvasive, and nonintrusive …
Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology
Accurate and efficient classification and quantification of CD34+ cells are essential for the
diagnosis and monitoring of leukemia. Current methods, such as flow cytometry, are …
diagnosis and monitoring of leukemia. Current methods, such as flow cytometry, are …
Development of lens-free holographic microscopes using multiheight and multispectral phase recovery methods
CP D'Almeida - 2023 - teses.usp.br
Since its invention in century XVI, microscopy is one of the most important optics techniques.
Its use has revolutionized many knowledge areas and these applications have driven …
Its use has revolutionized many knowledge areas and these applications have driven …