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 …

Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression

M Gouda, A Lugnan, J Dambre… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Impedimetric Detection of Cancer Markers Based on Nanofiber Copolymers

N Elnagar, N Elgiddawy, WMA El Rouby, AA Farghali… - Biosensors, 2024 - mdpi.com
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 …

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 …

Improving cellular analysis throughput of lens-free holographic microscopy with circular Hough transform and convolutional neural networks

MA Pala, MZ Yıldız - Optics & Laser Technology, 2024 - Elsevier
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 …

[HTML][HTML] Intelligent biosignal processing in wearable and implantable sensors

HN Costin, S Sanei - Biosensors, 2022 - mdpi.com
Wearable technology including sensors, sensor networks, and the associated devices have
opened up space in a variety of applications. Long-term, noninvasive, and nonintrusive …

[HTML][HTML] Label-Free CD34+ Cell Identification Using Deep Learning and Lens-Free Shadow Imaging Technology

M Baik, S Shin, S Kumar, D Seo, I Lee, HS Jun… - Biosensors, 2023 - mdpi.com
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 …

[HTML][HTML] Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms

M Ramzan, J Sheng, MU Saeed, B Wang… - Visual Computing for …, 2024 - Springer
This study addresses the critical issue of anemia detection using machine learning (ML)
techniques. Although a widespread blood disorder with significant health implications …

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 …

Clinical and Biomedical Applications of Lensless Holographic Microscopy

CJ Potter, Z Xiong, E McLeod - Laser & Photonics Reviews - Wiley Online Library
Many clinical procedures and biomedical research workflows rely on microscopy, including
diagnosis of cancer, genetic disorders, autoimmune diseases, infections, and quantification …