Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food industry. Recently, near-infrared (NIR) spectroscopy revealed that it is also possible to detect the presence of viruses in animal and vegetal tissues. Here we report a platform based on visible and NIR (VNIR) hyperspectral imaging for non-contact, reagent free detection and quantification of laboratory-engineered viral particles in fluid samples (liquid droplets and dry residue) using both partial least square-discriminant analysis and artificial feed-forward neural networks. The detection was successfully achieved in preparations of phosphate buffered solution and artificial saliva, with an equivalent pixel volume of 4 nL and lowest concentration of 800 TU·$$\upmu$$
μ
L−1. This method constitutes an innovative approach that could be potentially used at point of care for rapid mass screening of viral infectious diseases and monitoring of the SARS-CoV-2 pandemic.
Effective testing is essential to control the coronavirus disease 2019 (COVID-19) transmission. Here we report a-proof-of-concept study on hyperspectral image analysis in the visible and near-infrared range for primary screening at the point-of-care of SARS-CoV-2. We apply spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence to extract information from optical diffuse reflectance measurements from 5 µL fluid samples at pixel, droplet, and patient levels. We discern preparations of engineered lentiviral particles pseudotyped with the spike protein of the SARS-CoV-2 from those with the G protein of the vesicular stomatitis virus in saline solution and artificial saliva. We report a quantitative analysis of 72 samples of nasopharyngeal exudate in a range of SARS-CoV-2 viral loads, and a descriptive study of another 32 fresh human saliva samples. Sensitivity for classification of exudates was 100% with peak specificity of 87.5% for discernment from PCR-negative but symptomatic cases. Proposed technology is reagent-free, fast, and scalable, and could substantially reduce the number of molecular tests currently required for COVID-19 mass screening strategies even in resource-limited settings.
<b><i>Introduction:</i></b> Posthemorrhagic hydrocephalus in preterm infants is a serious entity related to high mortality and morbidity. Neuroendoscopic lavage (NEL) is a suitable alternative for the management of this pathology. However, as with every endoscopic technique, it requires some experience and several cases to master. <b><i>Methods:</i></b> We present a descriptive study of some technical nuances, tips, and tricks that have been learned in the last 8 years with over a hundred NELs performed in preterm infants. These variations are classified into 3 categories according to their temporal relationship with the surgical procedure: preoperative stage, intraoperative stage, and postoperative stage. We include a brief description of each one and the reasons why they are included in our current clinical practice. <b><i>Results:</i></b> Twenty tips and pearls were described in detail and are reported here. Preoperative, intraoperative, and postoperative variations were exposed and related to the most frequent complications of this procedure: infection, cerebrospinal fluid leak, and rebleeding. <b><i>Conclusions:</i></b> NEL is a useful technique for the management of germinal matrix hemorrhage in preterm infants. These technical nuances have improved the results of our technique and helped us to prevent complications related to the procedure.
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