This paper describes the development of a prototype of a low-cost digital fluorescent microscope built from commercial off-the-shelf (COTS) components. The prototype was tested to detect malignant tumor cells taken from a living organism in a preclinical setting. This experiment was accomplished by using Alexa Fluor 488 conjugate dye attached to the cancer cells. Our prototype utilizes a torch along with an excitation filter as a light source for fluorophore excitation, a dichroic mirror to reflect the excitation and pass the emitted green light from the sample under test and a barrier filter to permit only appropriate wavelength. The system is designed out of a microscope using its optical zooming property and an assembly of exciter filter, dichroic mirror and transmitter filter. The microscope is connected to a computer or laptop through universal serial bus (USB) that allows real-time transmission of captured florescence images; this also offers real-time control of the microscope. The designed system has comparable features of high-end commercial fluorescent microscopes while reducing cost, power, weight and size.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5158004 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0167863 | PLOS |
Biomed Opt Express
January 2025
School of Computer Science and Technology, Hainan University, Haikou 570228, China.
Whole slide imaging (WSI) provides tissue visualization at the cellular level, thereby enhancing the effectiveness of computer-aided diagnostic systems. High-precision autofocusing methods are essential for ensuring the quality of WSI. However, the accuracy of existing autofocusing techniques can be notably affected by variations in staining and sample heterogeneity, particularly without the addition of extra hardware.
View Article and Find Full Text PDFJMIR Ment Health
January 2025
Laboratoire SANPSY, CNRS, UMR 6033, Université de Bordeaux-Centre Hospitalier Universitaire Pellegrin de Bordeaux, Bordeaux, France.
Background: Fully automated digital interventions delivered via smartphone apps have proven efficacious for a wide variety of mental health outcomes. An important aspect is that they are accessible at a low cost, thereby increasing their potential public impact and reducing disparities. However, a major challenge to their successful implementation is the phenomenon of users dropping out early.
View Article and Find Full Text PDFFood Chem
January 2025
State Key Laboratory of Pulp and Paper Engineering, School of Light Industry and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, Guangzhou 510006, China. Electronic address:
Lateral flow assays (LFAs) have found extensive applications in food safety and quality monitoring. Now, smartphone technology is redefining how tests are conducted at the point of use. At the same time, quick response (QR) codes enhance digital connectivity for information transmission, data collection, and response linkage.
View Article and Find Full Text PDFJMIR Pediatr Parent
December 2024
see Acknowledgments.
Background: Preventive interventions are needed to provide targeted health support to adolescents to improve health behaviors. Engaging adolescents in preventive interventions remains a challenge, highlighting the need for innovative recruitment strategies. Given adolescents' lives are intertwined with digital technologies, attention should be focused on these avenues for recruitment.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Department of Mechanical Engineering, Politecnico di Milano, Via Privata Giuseppe la Masa 1, 20156 Milano, Italy.
The increasing traffic on roads poses a significant challenge to the structural integrity of bridges and viaducts. Indirect structural monitoring offers a cost-effective and efficient solution for monitoring multiple infrastructures. The presented work aims to explore new sensing strategies based on digital MEMS sensors integrated into an intelligent IoT infrastructure to predict the bridge deflection behaviour for indirect Bridge Structural Health Monitoring purposes.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!