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Background: C-reactive protein (CRP) is used to evaluate the evolution of infections and sepsis in critically ill patients. For POCT testing, biosensor-based detection techniques offer quick and convenient application.
Objective: A prototype three dimensional chip was fabricated based on a new optomagnetic method to achieve the rapid detection of CRP.
Methods: This work investigates a new technology for the quick quantitative detection of the C-reactive protein (CRP) by total internal reflection magnetic imaging (TIRMI) on a three dimensional optomagnetic sensor. Transparent glass and hydrophilic plastic film with channels were used to construct the three dimensional sensor. The magnetic nanoparticles and immunological reagent were immobilized on the reaction area of the sensor. Samples were detected using total internal reflection magnetic spot imaging (TIRMI) based on a sandwich magnetic immunoassay by one-step assay.
Results: The developed 3D biosensor-TIRMI method showed a wide dynamic linear range (0.2-200 ng/ml) and quick detection (5 min) with low-sample volume (10 μL).
Conclusions: We have presented a three dimensional optical protein chip that fulfills the demanding for point-of-care diagnostics in terms of ease-of-use (one step assay), miniaturization, assay time. This approach shows great promise for application in clinical investigations of biological samples.
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http://dx.doi.org/10.3233/THC-171317 | DOI Listing |
Nat Methods
September 2025
Electron Microscopy Science Technology Platform, The Francis Crick Institute, London, UK.
Volume correlative light and electron microscopy (vCLEM) is a powerful imaging technique that enables the visualization of fluorescently labeled proteins within their ultrastructural context. Currently, vCLEM alignment relies on time-consuming and subjective manual methods. This paper presents CLEM-Reg, an algorithm that automates the three-dimensional alignment of vCLEM datasets by leveraging probabilistic point cloud registration techniques.
View Article and Find Full Text PDFSurg Endosc
September 2025
Department of Surgery & Interventional Science, University College London, Gower St, London, WC1E 6BT, UK.
Introduction: The transition from traditional laparoscopy to robotic surgery marks a significant chage in surgical practice. An understated aspect of this transition may be the three dimensional (3D) view from the surgical console. This study hypothesises that acclimatisation with 3D virtual reality (VR) video may enhance robotic simulator performance in novice robotic surgeons.
View Article and Find Full Text PDFLeukemia
September 2025
University Children's Hospital Zurich, Pediatric Oncology and Children's Research Center, Zurich, Switzerland.
Acute lymphoblastic leukemia (ALL) preferentially localizes in the bone marrow (BM) and displays recurrent patterns of medullary and extra-medullary involvement. Leukemic cells exploit their niche for propagation and survive selective pressure by chemotherapy in the BM microenvironment, suggesting the existence of protective mechanisms. Here, we established a three-dimensional (3D) BM mimic with human mesenchymal stromal cells and endothelial cells that resemble vasculature-like structures to explore the interdependence of leukemic cells with their microenvironment.
View Article and Find Full Text PDFJ Pediatr Urol
August 2025
Hacettepe University Medical Faculty, Department of Pediatric Surgery, Ankara, Turkey.
Background: Patients with synchronous bilateral Wilms tumor (BWT) face challenges in balancing oncological control and nephron-sparing surgery (NSS). This study aimed to identify objective criteria for NSS in BWT by applying SIOP RTSG 2016 Umbrella Study criteria, the RENAL nephrometry scoring system, three-dimensional (3D) tumor volume measurements, and residual healthy kidney volume assessment.
Methods: A retrospective analysis was conducted on 14 patients with synchronous BWT.
ISA Trans
September 2025
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, No. 95 ZhongGuanCun East Road, HaiDian District, Beijing, PR China. Electronic address:
This work investigates the problem of collaborative target tracking by multiple unmanned aerial vehicles (UAVs) in maritime search and rescue. A class of time-varying (TV) convex optimization problems with inequality constraints is presented. In contrast to existing studies that address UAV-based maritime search and rescue under fixed wind speed conditions, this study also explores collaborative target tracking by UAVs under varying wind speed conditions.
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