Development of an autonomic portable single-board computer based high resolution NIRS device for microcirculation analysis

Author(s):  
E. R. Rajkumar ◽  
J. Safaie ◽  
R. Gupta ◽  
D. Pattnaik ◽  
H. AbrishamiMoghaddam ◽  
...  
2021 ◽  
pp. 028418512199579
Author(s):  
Simon S Martin ◽  
Delina Kolaneci ◽  
Julian L Wichmann ◽  
Lukas Lenga ◽  
Doris Leithner ◽  
...  

Background High-resolution computed tomography (HRCT) is essential in narrowing the possible differential diagnoses of diffuse and interstitial lung diseases. Purpose To investigate the value of a novel computer-based decision support system (CDSS) for facilitating diagnosis of diffuse lung diseases at HRCT. Material and Methods A CDSS was developed that includes about 100 different illustrations of the most common HRCT signs and patterns and describes the corresponding pathologies in detail. The logical set-up of the software facilitates a structured evaluation. By selecting one or more CT patterns, the program generates a ranked list of the most likely differential diagnoses. Three independent and blinded radiology residents initially evaluated 40 cases with different lung diseases alone; after at least 12 weeks, observers re-evaluated all cases using the CDSS. Results In 40 patients, a total of 113 HRCT patterns were evaluated. The percentage of correctly classified patterns was higher with CDSS (96.8%) compared to assessment without CDSS (90.3%; P < 0.01). Moreover, the percentage of correct diagnosis (81.7% vs. 64.2%) and differential diagnoses (89.2% vs. 38.3%) were superior with CDSS compared to evaluation without CDSS (both P < 0.01). Conclusion Addition of a CDSS using a structured approach providing explanations of typical HRCT patterns and graphical illustrations significantly improved the performance of trainees in characterizing and correctly identifying diffuse lung diseases.


Author(s):  
Thatiane de Oliveira Rosa ◽  
Alfredo Goldman

Abstract In this document, we describe the experience of teaching Agile Methods for developing projects related to the Linux Kernel, during the XP Lab course. In 2018, the first project related to this context emerged. This project had the objective of making adjustments to the driver for Linux IIO subsystem. The second project was developed in 2019 and aimed to refactor the Ethernet driver used in the kernel of a Brazilian Single Board Computer. Based on 19 years of experience offering the XP Lab course, we consider the development of these projects to be a challenging teaching activity, which deserves to be presented and discussed with students, educators, and professionals. Our aim is to show that it is possible to adapt Agile Values to different software development settings.


2021 ◽  
Author(s):  
Shizhou Ma ◽  
Karen Beazley ◽  
Patrick Nussey ◽  
Chris Greene

Abstract The Active River Area (ARA) is a spatial approach for identifying the extent of functional riparian area. Given known limitations in terms of input elevation data quality and methodology, ARA studies to date have not achieved effective computer-based ARA-component delineation, limiting the efficacy of the ARA framework in terms of informing riparian conservation and management. To achieve framework refinement and determine the optimal input elevation data for future ARA studies, this study tested a novel Digital Elevation Model (DEM) smoothing algorithm and assessed ARA outputs derived from a range of DEMs for accuracy and efficiency. It was found that the tested DEM smoothing algorithm allows the ARA framework to take advantage of high-resolution LiDAR DEM and considerably improves the accuracy of high-resolution LiDAR DEM derived ARA results; smoothed LiDAR DEM in 5-meter spatial resolution best balanced ARA accuracy and data processing efficiency and is ultimately recommended for future ARA delineations across large regions.


2021 ◽  
pp. 20200944
Author(s):  
Lucio Calandriello ◽  
Simon LF Walsh

In patients with idiopathic pulmonary fibrosis (IPF), there is an urgent need of biomarkers which can predict disease behaviour or response to treatment. Most published studies report results based on continuous data which can be difficult to apply to individual patients in clinical practice. Having antifibrotic therapies makes it even more important that we can accurately diagnose and prognosticate in IPF patients. Advances in computer technology over the past decade have provided computer-based methods for objectively quantifying fibrotic lung disease on high-resolution CT of the chest with greater strength than visual CT analysis scores. These computer-based methods and, more recently, the arrival of deep learning-based image analysis might provide a response to these unsolved problems. The purpose of this commentary is to provide insights into the problems associated with visual interpretation of HRCT, describe of the current technologies used to provide quantification of disease on HRCT and prognostication in IPF patients, discuss challenges to the implementation of this technology and future directions.


Blood ◽  
2008 ◽  
Vol 112 (11) ◽  
pp. 2306-2306 ◽  
Author(s):  
Maria S Albano ◽  
William Rothman ◽  
Chiseko Watanabe ◽  
Anna Gora ◽  
Andromachi Scaradavou ◽  
...  

Abstract Background: Umbilical Cord Blood (CB) is an increasingly accepted graft source for patients lacking related donors. Graft characteristics currently used as determinants of quality and engraftment potential of CB units include the enumeration of Total Nucleated Cell (TNC), CD34+ and Colony Forming Units (CFU). Among those, the 14 day-CFU assay is the only one that determines the functional state as well as the number of hematopoietic progenitor cells. Thus, CFU in pre and post cryopreservation/thawing specimens are strong independent predictors of CB graft engraftment. Traditionally, evaluation of CFU growth is performed by light microscopy (traditional classification), is time consuming, subjective and difficult to standardize. Aims: A) To evaluate whether the incorporation of high-resolution digital imaging and colony staining could make reading the traditional CFU assay objective and readily standardizable. B) To validate the new strategy vs traditional classification. C) To develop a computer based laboratory information management system (LIMS) to support high-throughput CFU assay. Methods and Results: After 14 days of CB culture (CFU assay-Stem Cell Technologies), an image of the 35 mm culture dishes was captured using a high-resolution photographic camera based digital imaging system, which achieves a resolution of 7.6 μM per pixel and thus, allows a clear view of all colonies in the dish with their barcoded IDs. A short one-step staining with MTT (3-[4,5-dimethylthiazol-2yl]-2,5-diphenyltetrazolium bromide) allows an even better definition of CFU-GM/E; CFU-GM and CFU-E by bestowing a specific color on each type (dark purple, purple and red respectively) against a uniformly clear background. A good correlation was observed after comparison of the new strategy against traditional enumeration (R2 linear= 0.95; n= 122 culture dishes evaluated). Low variation was observed after 151 cultures were independently classified and enumerated by three different operators (CV%= 8.9; range 1–27%). Sample plating introduced variation of the CFU assay, in an experiment where nine CB samples were evaluated by multiple plating (Intra-assay CV%= 21.9 %; range 3.4–34.5% and Inter-assay CV%= 23.3%; range 12.6–35%). A computer based laboratory information (LIMS) was developed to store all culture dishes, linked by unique barcoded ID labels to a specific CB unit, and including CB image, incubator location, plating and counting dates, as well as detailed colony enumeration. This system has been used for 5 months in our laboratory and more than 3,000 CB units have been tested in duplicate (average: 30 CB/day). Images of an average of 60 culture dishes and MTT staining can be performed in less than two hours. The specific coloration of CFU colonies allows faster classification and enumeration and thus, permits a more precise analysis of CFU colonies and its relation with CD34+ cell content and post-transplant engraftment. Summary: With this new strategy, CFU can be objectively visualized, differentiated and counted; the digital images can be stored for future review and refined classification. The described system provides computerized information on optical assay parameters and has become an invaluable tool supporting high-throughput implementation. Thus, the combination of high resolution imaging, one-step staining and the traditional CFU assay overcome most technical challenges of the conventional method, supporting standardization and yielding high reproducibility to the assay which can be easily implemented in CB banks where large numbers of samples need to be tested daily.


2020 ◽  
Vol 69 (9) ◽  
pp. 6155-6164
Author(s):  
Carlo Guarnieri Calo Carducci ◽  
Gianluca Lipari ◽  
Nicola Giaquinto ◽  
Ferdinanda Ponci ◽  
Antonello Monti

Sign in / Sign up

Export Citation Format

Share Document