We have developed a sensor for monitoring the hemoglobin (Hb) concentration in the effluent of a continuous bladder irrigation. The Hb concentration measurement is based on light absorption within a fixed measuring distance. The light frequency used is selected so that both arterial and venous Hb are equally detected. The sensor allows the measurement of the Hb concentration up to a maximum value of 3.2 g/dL (equivalent to ≈20% blood concentration). Since bubble formation in the outflow tract cannot be avoided with current irrigation systems, a neural network is implemented that can robustly detect air bubbles within the measurement section. The network considers both optical and temporal features and is able to effectively safeguard the measurement process. The sensor supports the use of different irrigants (salt and electrolyte-free solutions) as well as measurement through glass shielding. The sensor can be used in a non-invasive way with current irrigation systems. The sensor is positively tested in a clinical study.
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http://dx.doi.org/10.3390/s21175723 | DOI Listing |
Eur J Nucl Med Mol Imaging
January 2025
Nuclear Medicine and Clinical Molecular Imaging, University Hospital Tuebingen, Otfried-Mueller-Str. 14, 72076, Tuebingen, Germany.
Purpose: Somatostatin receptor (SSTR)-PET is crucial for effective treatment stratification of neuroendocrine neoplasms (NENs). In highly proliferating or poorly differentiated NENs, dual-tracer approaches using additional [F]FDG PET can effectively identify SSTR-negative disease, usually requiring separate imaging sessions. We evaluated the feasibility of a one-day dual-tracer imaging protocol with a low activity [F]FDG PET followed by an SSTR-PET using the recently introduced [F]SiFAlin-TATE tracer in a long axial field-of-view (LAFOV) PET/CT scanner and its implications in patient management.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Department of Pharmaceutical Sciences, School of Pharmacy, West Virginia University, Morgantown, West Virginia 26506, United States.
measurement and mapping of oxygen levels within the tissues are crucial in understanding the physiopathological processes of numerous diseases, such as cancer, diabetes, or peripheral vascular diseases. Electron paramagnetic resonance (EPR) associated with biocompatible exogenous spin probes, such as Ox071 triarylmethyl (TAM) radical, is becoming the new gold standard for oxygen mapping in preclinical settings. However, these probes do not show tissue selectivity when injected systemically, and they are not cell permeable, reporting oxygen from the extracellular compartment only.
View Article and Find Full Text PDFTree Physiol
January 2025
School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Seasonal variations of nutrients in different organs are an essential strategy for temperate trees to maintain growth and function. The seasonal variations and variability (i.e.
View Article and Find Full Text PDFJ Am Chem Soc
January 2025
Shanghai Key Laboratory of Green Chemistry and Chemical Processes, School of Chemistry and Molecular Engineering, East China Normal University, Dongchuan Road 500, Shanghai 200241, P. R. China.
Host-guest supramolecular fluorescence probes have garnered significant attention in the detection and sensing of bioactive molecules due to their functionalization potential, adjustable physical properties, and high specificity. However, such probes that reliably, rapidly, and specifically measure neurotransmitter dynamics at the cellular and in vivo level have yet to be reported. Herein, we present a supramolecular fluorescent chemosensor designed for norepinephrine (NE) detection, showing an exceptional response and specificity through host-guest complexation.
View Article and Find Full Text PDFAnal Chem
January 2025
Key Laboratory of Nondestructive Test (Ministry of Education), Nanchang Hangkong University, Nanchang 330063, China.
Off-axis integrated cavity output spectroscopy (OA-ICOS) allows the laser to be reflected multiple times inside the cavity, increasing the effective absorption path length and thus improving sensitivity. However, OA-ICOS systems are affected by various types of noise, and traditional filtering methods offer low processing efficiency and perform limited feature extraction. Deep learning models enable us to extract important features from large-scale, complex spectral data and analyze them efficiently and accurately.
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