scholarly journals Making a science out of preanalytics: An analytical method to determine optimal tissue fixation in real-time

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258495
Author(s):  
Daniel R. Bauer ◽  
Torsten Leibold ◽  
David R. Chafin
Keyword(s):  
Real Time ◽  
Analytical Method ◽  
Digital Pathology ◽  
Innovative Technology ◽  
Tissue Fixation ◽  
Predictive Algorithm ◽  
Dynamic Fixation ◽  
Fixation Techniques ◽  
Fixation Protocol ◽  
Standard Fixation

Modern histopathology is built on the cornerstone principle of tissue fixation, however there are currently no analytical methods of detecting fixation and as a result, in clinical practice fixation is highly variable and a persistent source of error. We have previously shown that immersion in cold formalin followed by heated formalin is beneficial for preservation of histomorphology and have combined two-temperature fixation with ultra-sensitive acoustic monitoring technology that can actively detect formalin diffusing into a tissue. Here we expand on our previous work by developing a predictive statistical model to determine when a tissue is properly diffused based on the real-time acoustic signal. We trained the model based on the morphology and characteristic diffusion curves of 30 tonsil cores. To test our model, a set of 87 different tonsil samples were fixed with four different protocols: dynamic fixation according to our predictive algorithm (C/H:Dynamic, N = 18), gold-standard 24 hour room temperature (RT:24hr, N = 24), 6 hours in cold formalin followed by 1 hour in heated formalin (C/H:6+1, N = 21), and 2 hours in cold formalin followed by 1 hour in heated formalin (C/H:2+1, N = 24). Digital pathology analysis revealed that the C/H:Dynamic samples had FOXP3 staining that was spatially uniform and statistically equivalent to RT:24hr and C/H:6+1 fixation protocols. For comparison, the intentionally underfixed C/H:2+1 samples had significantly suppressed FOXP3 staining (p<0.002). Furthermore, our dynamic fixation protocol produced bcl-2 staining concordant with standard fixation techniques. The dynamically fixed samples were on average only submerged in cold formalin for 4.2 hours, representing a significant workflow improvement. We have successfully demonstrated a first-of-its-kind analytical method to assess the quality of fixation in real-time and have confirmed its performance with quantitative analysis of downstream staining. This innovative technology could be used to ensure high-quality and standardized staining as part of an expedited and fully documented preanalytical workflow.

Development of a Wireless Sensor Network for Factory Power Monitoring and Automation Control

2011 ◽  
Vol 480-481 ◽  
pp. 1346-1351
Author(s):  
Wen Tsai Sung ◽  
Yao Chi Hsu ◽  
Jui Ho Chen
Keyword(s):  
Real Time ◽  
Carbon Dioxide Concentration ◽  
Vibration Sensor ◽  
Industrial Safety ◽  
Innovative Technology ◽  
Current Sensing ◽  
Power Monitoring ◽  
Plant Safety ◽  
Real Time Measurement ◽  
Automation Control

For factory automation, devices and machine make a lot of space has become crowded and full of workers makes the operation of the pipeline space is limited, the problem of accidents become more frequent as the frequency will gradually floating surface have to seriously. The combination of embedded systems based on ZigBee technology to enhance the quality of research objectives of industrial safety, in addition to the general control inherent in using the system outside the ZigBee wireless technology to a remote control. Industrial application platform measurements have the thickness of the degree of screening, vibration sensor, weight classification, current sensing, energy monitoring, load switching, temperature monitoring, and carbon dioxide concentration. From the existing literature found in this study combined with embedded ZigBee for industrial real-time measurement system is an innovative technology. In this study, in addition to the discussion platform, the data for statistical measurement and analysis are also discussed in detail, through wired and wireless synchronization of the system measurement and monitoring, will be able to reach a real-time and can improve the safety of plant safety monitoring.

Dynamic Formation Evaluation to Reduce Uncertainty and Confirm Completed Intervals in Brown Fields

2021 ◽  
Author(s):  
Muhamad Aizat Kamaruddin ◽  
Ayham Ashqar ◽  
Muhammad Haniff Suhaimi ◽  
Fairus Azwardy Salleh
Keyword(s):  
Real Time ◽  
Optical Sensors ◽  
Sensor Technology ◽  
Innovative Technology ◽  
Fluid Type ◽  
Formation Evaluation ◽  
Reservoir Fluid ◽  
Logging While Drilling ◽  
Dynamic Formation

Abstract Uncertainties in fluid typing and contacts within Sarawak Offshore brown field required a real time decision. To enhance reservoir fluid characterisation and confirm reservoir connectivity prior to well final total depth (TD). Fluid typing while drilling was selected to assure the completion strategy and ascertain the fluvial reservoir petrophysical interpretation. Benefiting from low invasion, Logging While Drilling (LWD) sampling fitted with state of ART advanced spectroscopy sensors were deployed. Pressures and samples were collected. The well was drilled using synthetic base mud. Conventional logging while drilling tool string in addition to sampling tool that is equipped with advanced sensor technology were deployed. While drilling real time formation evaluation allowed selecting the zones of interest, while fluid typing was confirmed using continually monitored fluids pump out via multiple advanced sensors, contamination, and reservoir fluid properties were assessed while pumping. Pressure and sampling were performed in drilling mode to minimise reservoir damage, and optimise rig time, additionally sampling while drilling was performed under circulation conditions. Pressures were collected first followed by sampling. High success in collecting pressure points with a reliable fluid gradient that indicated a virgin reservoir allowed the selection of best completion strategy without jeopardising reserves, and reduced rig time. Total of seven samples from 3 different reservoirs, four oil, and three formation water. High quality samples were collected. The dynamic formation evaluation supported by while drilling sampling confirmed the reservoir fluid type and successfully discovered 39ft of oil net pay. Reservoir was completed as an oil producer. The Optical spectroscopy measurements allowed in situ fluid typing for the quick decision making. The use of advanced optical sensors allowed the sample collection and gave initial assessment on reservoir fluids properties, as a result cost saving due to eliminating the need for additional Drill Stem Test (DST) run to confirm the fluid type. Sample and formation pressures has confirmed reservoir lateral continuity in the vicinity of the field. The reservoir developed as thick and blocky sandstone. Collected sample confirmed the low contamination levels. Continuous circulation mitigated sticking and potential well-control risks. This is the first time in surrounding area, advanced optical sensors are used to aid LWD sampling and to finalize the fluid identification. The innovative technology allowed the collection of low contamination. The real-time in-situ fluid analysis measurement allowed critical decisions to be made real time, consequently reducing rig downtime. Reliable analysis of fluid type identification removed the need for additional run/service like DST etc.

scholarly journals Augmented Reality Technology Using Microsoft HoloLens in Anatomic Pathology

2018 ◽  
Vol 142 (5) ◽  
pp. 638-644 ◽  
Author(s):  
Matthew G. Hanna ◽  
Ishtiaque Ahmed ◽  
Jeffrey Nine ◽  
Shyam Prajapati ◽  
Liron Pantanowitz
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mixed Reality ◽  
Digital Pathology ◽  
Remote Supervision ◽  
Augmented Reality Technology ◽  
Microsoft Hololens ◽  
Microscopic Pathology ◽  
Areas Of Interest ◽  
Whole Slide Images

Context Augmented reality (AR) devices such as the Microsoft HoloLens have not been well used in the medical field. Objective To test the HoloLens for clinical and nonclinical applications in pathology. Design A Microsoft HoloLens was tested for virtual annotation during autopsy, viewing 3D gross and microscopic pathology specimens, navigating whole slide images, telepathology, as well as real-time pathology-radiology correlation. Results Pathology residents performing an autopsy wearing the HoloLens were remotely instructed with real-time diagrams, annotations, and voice instruction. 3D-scanned gross pathology specimens could be viewed as holograms and easily manipulated. Telepathology was supported during gross examination and at the time of intraoperative consultation, allowing users to remotely access a pathologist for guidance and to virtually annotate areas of interest on specimens in real-time. The HoloLens permitted radiographs to be coregistered on gross specimens and thereby enhanced locating important pathologic findings. The HoloLens also allowed easy viewing and navigation of whole slide images, using an AR workstation, including multiple coregistered tissue sections facilitating volumetric pathology evaluation. Conclusions The HoloLens is a novel AR tool with multiple clinical and nonclinical applications in pathology. The device was comfortable to wear, easy to use, provided sufficient computing power, and supported high-resolution imaging. It was useful for autopsy, gross and microscopic examination, and ideally suited for digital pathology. Unique applications include remote supervision and annotation, 3D image viewing and manipulation, telepathology in a mixed-reality environment, and real-time pathology-radiology correlation.

scholarly journals Language Education in the Age of Globalization and Innovation

2019 ◽  
Vol 71 ◽  
pp. 05010
Author(s):  
V. Dobrova ◽  
P. Labzina ◽  
N. Ageenko ◽  
S. Menshenina
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
3D Modeling ◽  
Language Education ◽  
Innovative Technology ◽  
Language Program ◽  
The Real ◽  
New Methods ◽  
Methods And Techniques ◽  
Frame Method

Globalization and innovation have recently resulted in the extensive use of the latest technological products practically everywhere, and in education especially. Various technologies are now employed in different spheres of education. Virtual Reality (VR) is a global innovative technology with great potentials and enormous pedagogical possibilities that offers new methods and techniques for education. The main features of it are visibility, security, involvement, presence and focusing. It enables to combine the computer-generated virtual information and the real environment in real time. The presented VR language program is based on the concept of 3D modeling and semantic frame method.

scholarly journals In Vitro Study of Extracellular Vesicles Migration in Cartilage-Derived Osteoarthritis Samples Using Real-Time Quantitative Multimodal Nonlinear Optics Imaging

Pharmaceutics ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 734
Author(s):  
Leonardo Mortati ◽  
Laura de Girolamo ◽  
Carlotta Perucca Orfei ◽  
Marco Viganò ◽  
Marco Brayda-Bruno ◽  
...  
Keyword(s):  
Real Time ◽  
Extracellular Vesicles ◽  
Mesenchymal Stromal Cells ◽  
Stromal Cells ◽  
Second Harmonic ◽  
Time Lapse ◽  
Cartilage Explants ◽  
Innovative Technology

Mesenchymal stromal cells (MSCs)-derived extracellular vesicles (EVs) are promising therapeutic nano-carriers for the treatment of osteoarthritis (OA). The assessment of their uptake in tissues is mandatory but, to date, available technology does not allow to track and quantify incorporation in real-time. To fill this knowledge gap, the present study was intended to develop an innovative technology to determine kinetics of fluorescent MSC-EV uptake by means of time-lapse quantitative microscopy techniques. Adipose-derived mesenchymal stromal cells (ASCs)-EVs were fluorescently labeled and tracked during their uptake into chondrocytes micromasses or cartilage explants, both derived from OA patients. Immunofluorescence and time-lapse coherent anti-Stokes Raman scattering, second harmonic generation and two-photon excited fluorescence were used to follow and quantify incorporation. EVs penetration appeared quickly after few minutes and reached 30–40 μm depth after 5 h in both explants and micromasses. In explants, uptake was slightly faster, with EVs signal overlapping both extracellular matrix and chondrocytes, whereas in micromasses a more homogenous diffusion was observed. The finding of this study demonstrates that this innovative technology is a powerful tool to monitor EVs migration in tissues characterized by a complex extracellular network, and to obtain data resembling in vivo conditions.

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