Key Locations Research Articles

Towards inferring positioning of straight cochlear-implant electrode arrays during insertion using real-time impedance sensing.

Cochlear-implant electrode arrays (EAs) are currently inserted with limited feedback, and impedance sensing has recently shown promise for EA localisation. We investigate the use of impedance sensing to infer the progression of an EA during insertion. We show that the access resistance component of bipolar impedance sensing can detect when a straight EA reaches key anatomical locations in a plastic cochlea and when each electrode contact enters/exits the cochlea. We also demonstrate that dual-sided electrode contacts can provide useful proximity information and show the real-time relationship between impedance and wall proximity in a cadaveric cochlea for the first time. The access resistance component of bipolar impedance sensing has high potential for estimating positioning information of EAs relative to anatomy during insertion. Main limitations of this work include using saline as a surrogate for human perilymph in ex vivo models and using only one type of EA.

The Australian ice core programme: history, context, and bibliometric analysis

ABSTRACT East Antarctic ice cores are key to Australia’s Antarctic science objectives. Australia is internationally recognised for its climate contributions relating to impurities, greenhouse gases, and water stable isotope studies. These factors make the Australian ice core programme an effective case study to demonstrate the usefulness of bibliometric studies in understanding the broader impacts of scientific research. This work presents a bibliometric analysis of Australian-authored and/or funded ice core publications from within the Australian Antarctic Territory over the programme’s 50 years (1972–2022). This work also discusses the history and chronology of Australia’s ice core programme to contextualise the results of the bibliometric analysis. These are illustrated by examining the key drilling locations, such as Law Dome, and the resultant research which establishes Australia as a global leader in producing high-resolution ice core records from coastal East Antarctic sites. This article demonstrates the applicability of bibliometric studies to identify themes of research that are intended to inform international and domestic policies for the betterment of society.

ЕДІЛ-ЖАЙЫҚ ПОПУЛЯЦИЯСЫ КИІКТЕРІНІҢ ҚАЗІРГІ КЕЗДЕГІ ЭКОЛОГИЯЛЫҚ ЖАҒДАЙЫ ЖӘНЕ ПОПУЛЯЦИЯНЫҢ ТҰРАҚТЫ ДАМУЫНЫҢ МӘСЕЛЕЛЕРІ

This article is dedicated to studying the complex ecology of the Volga-Ural saiga population in Kazakhstan, providing comprehensive information about its current state and dynamics. Extensive field studies were conducted in key locations such as calving sites, summer pastures, and wintering grounds to understand habitat conditions, ecological characteristics, and relationships with other animal species. The increasing population of Volga-Ural saigas has led to conflicts of interest with agricultural producers, which have been examined alongside proposed measures for resolution. Currently, this population is the world`s largest, uniquely positioned in the border area between Kazakhstan and the Russian Federation. In recent years, saigas have been observed crossing the borders of these countries in the west and northwest of the West Kazakhstan region during spring, seeking calving sites. Fluctuation in saiga numbers from perilous lows to record highs within several years, raise concerns about sustainable long-term development. The author`s research seeks to address these questions and aligns with other researchers advocating for population regulation through controlled reduction necessary to manage the rapidly increasing saiga population effectively. Furthermore, this article serves as a valuable resource for conservation stakeholders, including those interested in saiga protection and regional agriculture development. It significantly contributes to understanding the intricate ecosystem dynamics along the right bank of the Ural River, emphasizing the importance of sustainable natural resource management for saiga conservation and overall biodiversity in the region.

Мир старообрядчества в русском изобразительном искусстве XVIII – первой трети XX вв.

Basing on a review of about 300 works created in the 18th – first third of the 20th centuries, the study presents a chronological and genre-thematic panorama of the development of the Old Believer trend in Russian fine art. It includes portraits, architectural landscapes, historical, genre paintings, book illustrations and sketches of theatrical scenery. The portrait genre is represented by commissioned works depicting real personalities and portrait types reproducing collective images of a diverse Old Believer community. Architectural landscapes captured key Old Believers locations — Vygoleksinskoe community, Rogozhskoye and Preobrazhenskoye cemeteries in Moscow, Pustozersk, Kerzhenets, Karelian necropolises. Historical painters came to the attention of such events as the presentation of new books by Patriarch Nikon, the rejection of newly printed books by Solovetsky monks, a dispute about faith in the Faceted Chamber, and the persecution of Old Believers. A special place is occupied by the images of Boyaryna Morozova and Archpriest Avvakum. Genre painting reflects the way of life of the Old Believers and its connection with the religious picture of the world. Over the course of two centuries, there was a formation and development of interest in the Old Believer theme, which found expression in enriching the genre palette and increasing the number of authors. About 60 artists showed interest in the Old Believers. A special contribution was made by M. Mylnikov, F. Solntsev, V. Perov, S. Miloradovich, V. Surikov, M. Nesterov, F. Malyavin, I. Kulikov, I. Goryushkin-Sorokopudov, B. Kustodiev, V. Kuznetsov, V. Plotnikov. In graphic and pictorial works, Old Believers act as bearers of national culture, adherents of their native antiquity.

Multi-person dance tiered posture recognition with cross progressive multi-resolution representation integration.

Recognizing postures in multi-person dance scenarios presents challenges due to mutual body part obstruction and varying distortions across different dance actions. These challenges include differences in proximity and size, demanding precision in capturing fine details to convey action expressiveness. Robustness in recognition becomes crucial in complex real-world environments. To tackle these issues, our study introduces a novel approach, i.e., Multi-Person Dance Tiered Posture Recognition with Cross Progressive Multi-Resolution Representation Integration (CPMRI) and Tiered Posture Recognition (TPR) modules. The CPMRI module seamlessly merges high-level features, rich in semantic information, with low-level features that provide precise spatial details. Leveraging a cross progressive approach, it retains semantic understanding while enhancing spatial precision, bolstering the network's feature representation capabilities. Through innovative feature concatenation techniques, it efficiently blends high-resolution and low-resolution features, forming a comprehensive multi-resolution representation. This approach significantly improves posture recognition robustness, especially in intricate dance postures involving scale variations. The TPR module classifies body key points into core torso joints and extremity joints based on distinct distortion characteristics. Employing a three-tier tiered network, it progressively refines posture recognition. By addressing the optimal matching problem between torso and extremity joints, the module ensures accurate connections, refining the precision of body key point locations. Experimental evaluations against state-of-the-art methods using MSCOCO2017 and a custom Chinese dance dataset validate our approach's effectiveness. Evaluation metrics including Object Keypoint Similarity (OKS)-based Average Precision (AP), mean Average Precision (mAP), and Average Recall (AR) underscore the efficacy of the proposed method.

Ecological and landscape-forming role of saigas of the Ural population in modern conditions

This article into the intricate biology and ecology of the Ural saiga (Saiga tatarica) population, offering a comprehensive update on its current status and dynamics. Drawing upon extensive field studies conducted at various key locations including lambing sites, and summer and winter habitats, the research aims to provide a nuanced understanding of the evolving relationship between saiga and agriculture. One of the primary focuses lives in assessing the landscape-modifying impact of saiga within contemporary environments. By examining the role of saiga in shaping local ecosystems, the study sheds light on the intricate interplay between these magnificent animals and the agricultural activities that often encroach upon their habitats. A significant aspect addressed in this research is the conflict of interests arising between the burgeoning Ural saiga population and agricultural practices. This conflict tends to intensify during periods of population peaks, posing challenges for both conservation efforts and the agricultural development. To mitigate these conflicts and pave the way for sustainable coexistence, the study puts forward preliminary measures for resolution. These measures are designed to reconcile the divergent interests of saiga conservation and agricultural productivity. Furthermore, the research identifies potential pathways for integrating the growing saiga population harmoniously into modern agricultural landscapes. By exploring innovative approaches and collaborative strategies, the study seeks to foster a mutually beneficial relationship between saiga conservation and agricultural sustainability. Overall, this article serves as a vital resource for policymakers, conservationists, and stakeholders invested in the preservation of the Ural saiga population and the cultivation of sustainable agricultural practices in the region.

Environmental air quality monitoring system

The rapid urbanization and industrialization have caused a significant increase in environmental pollution, especially in air quality. This paper introduces an IoT-based environmental monitoring system to address these issues. Using state-of-the-art IoT technology, the system deploys sensors in key locations to continuously collect data on air quality indicators like Particulate Matter (PM), Carbon Monoxide (CO), and Ozone (O3). The collected data is wirelessly transmitted to a central server for processing and analysis. The system provides real-time and historical data through a user-friendly interface, enabling users to monitor current conditions, identify trends, and identify potential pollution sources. The key features include scalability, allowing for the addition of new sensors, and proactive decision-making through alerts when environmental parameters exceed predefined thresholds. This paper aims to empower communities with the knowledge needed to address and mitigate air pollution, creating healthier and more liveable urban environments in the face of rapid global urbanization.

Safety Monitoring Scheme of Gas Pipeline Network Based on Multi-homing Technology

The gas pipeline network is one of the key infrastructures for the energy supply of modern cities, and its safety is crucial to the life and development of urban residents. The traditional gas pipeline network monitoring method mainly relies on regular inspection and manual intervention, which has problems such as monitoring blind zone, slow response time and low monitoring accuracy. To address these issues, we introduce multi-homing technology into our gas network safety monitoring solution. First of all, we deploy multiple sensor nodes in key locations such as gas pipelines, valves, and connection points in the gas pipeline network, and each sensor node is equipped with multiple communication interfaces, which can be connected to different networks at the same time. We classify the collected data according to QoS traffic and assign links according to service level, and use multi-homing technology to perform multiple transmission and multiple reception, optimizing data transmission time and reliability.

Geographic Profiling and Geographic Information Systems in the Study and Investigation of Crime

The research of a criminal’s movements and the identification of his key locations is a complex task for both criminology and criminalistics. The analysis of publications shows that geographical profiling can be viewed simultaneously as an interdisciplinary field of knowledge, as a method for obtaining orienting diagnostic information about the criminal, and as a process of corresponding analytical activity; besides, the number of geographical profiling objects grows with time: the place of residence is supplemented by other anchor points where the criminal might spend time. The author states that in some cases geographical profiling methods might be effective for identifying the criminal who committed a single crime, and not necessarily a series of crimes. The theoretical foundations of geographical profiling are examined, they include the theory of routine activities, rational choice, crime patters, circle, and also attenuation with an increase of distance. Normative and criminalistic approaches to geoinformation systems are analyzed. The author presents a description of key software complexes that have geographical profiling as their dominant or one of their dominant features, including Rigel, Dragnet, Crimestat, Predator and Gemini. Main drawbacks of these programs are examined: an orientation at a large number of similar crimes, supposed stable composition of a criminal group, a small number of different groups of criminals and a small area of the territory under analysis, region-based linking to databases. It is also possible to use non-core geoinformation services for modelling a criminal’s movements, for instance, for determining the direction of pursuit while the trail is still hot or for verifying evidence. This information includes a criminal’s access to private or public transport, characteristics of outdoor surveillance systems, the volume and weight of a criminal’s assets, including stolen assets, dirt on their face or clothes, their emotional condition. The author concludes that it is necessary to simultaneously develop state-owned geoinformation systems reflecting data on crime in general as well as specific crimes, and similar private special-purpose projects.

Development of Static Model for a Current Based UPFC

The power system loads are dispersed across the network and generators are concentrated in a few key locations. In between generation and loads, there exist transmission systems. FACTS devices have applications to regulate voltage magnitude and angle, and impedance of the system. In FACTS devices, UPFC is one of its kind. Generally, line outages are occurred due to the faults on the transmission lines. One of the sensitive measures to understand the line outages is Line Outage Distribution Factor (LODF). In this paper, a suitable location is identified for UPFC to place where the line outage distribution factor is quite high in the system through line outage distribution factor.

Identification of Priority Areas for Ecological Restoration in Coal Mining Areas with a High Groundwater Table Based on Ecological Security Pattern and Ecological Vulnerability

Resource exploitation and rapid urbanization in coal mining areas with a high groundwater table (CMA-HGT) have created double pressure on regional ecological security and increased the vulnerability of the ecological environment. Ecological restoration should be carried out to balance the relationship between economic development and ecological and environmental protection. An ecological security pattern (ESP) can identify key locations that are critical to maintaining ecosystem service stability and landscape connectivity, with territories displaying relatively high vulnerability identified as priority areas for ecological restoration. The Jining planning area (JPA), a typical representative of CMA-HGT, was taken as the study area. To construct the integrated ESP, ecological sources were identified by measuring the importance of multiple ecosystem services and landscape connectivity. Then, the ecological resistance surface was constructed, and the ecological corridors, pinch points, and barriers were determined using circuit theory. Ecological vulnerability (EV) evaluation was performed from the perspectives of natural factors and human activities. The study results showed that the spatial superposition of ESP and EV can effectively identify priority areas for ecological restoration. The ecological restoration priority areas for ecological sources, ecological corridors, and ecological pinch points were 44.56 km2, 11.7 km2, and 9.96 km2, respectively, and corresponding restoration strategies were proposed. Some valuable references were provided for the identification and restoration of priority areas for ecological restoration in CMA-HGT.

The Influence of Anthropogenic Pollution on the Physicochemical Conditions of the Waters of the Lower Section of the Sąpólna River

River pollution resulting from unregulated and improper water sewage management is a global issue of concern. The discharge of inadequately treated sewage into rivers and the sudden release of excessive quantities during heavy rainfall can result in significant fish mortality. This phenomenon has been observed repeatedly in the case of the Sąpólna River, NW Poland. Consequently, a decision was made to monitor the water quality at two key locations: the drainage channel that feeds into the river and downstream of the channel. Seventeen water quality indicators were measured, including temperature, pH, conductivity, total suspended solids (TSS), dissolved oxygen (DO), biochemical oxygen demand (BOD5), chemical oxygen demand (CODCr), total organic carbon (TOC), alkalinity, total hardness, total reactive phosphorus (TRP), total phosphorus (TP), nitrite-nitrogen (NO2−-N), nitrate-nitrogen (NO3−-N), total ammonia nitrogen (NH4-N), total organic nitrogen (TON), and total nitrogen (TN). It was determined that, at the location farthest from the drainage channel, water quality still falls short of meeting the specified standards. The primary factors leading to the degradation of water quality at this point were TSS, TRP, NO2−-N, and TN. It was concluded that the primary localized source of water pollution in the studied section of the Sąpólna River is the discharge from sewage treatment plants in Nowogard. Consequently, actions should be taken to address sewage quality and reduce discharge quantities.

Alternative Arrangements

Alternative Arrangements is a series of works that have emerged from my doctoral research at the Bartlett School of Architecture, UCL. This practice-based research asks how architectures and landscapes of the contested border on the island of Éire (Ireland) tell the stories of its pasts and presents. It uses ‘topographic practice’ – a term I have been developing through the course of my PhD building on Jane Rendell’s ideas of ‘critical spatial practice’ (Rendell, 2006) – to unpack architectural and landscape historiography as a form of artistic output; seeing the methods, practices and outputs as sites themselves, ones that build a multi-layered topography – a landscape of practice – to respond the specific characteristics of each place. Here doing so through ‘bordering practices’ (Hafeda, 2019) that aim to break down the binary of the border.  This third and final project of the PhD consists of film, photography, site-specific installation, and texts to be read in association with key locations, histories, and materials of the border; which in the process of ‘alternative arrangement’ have become intentionally ‘polysituated’ (Kinsella, 2017). In each site these installations act as allegories to create an uncanny double-take that seek to reconfigure the power dynamics of the centre by engaging with architectures, landscapes, and histories of the periphery. My PhD research began with border in sight – both conceptually as an object of study and practically in the relentless early years of the Brexit process – but ending here with the border perhaps disappearing entirely, or at least creating the imaginative space for it to do so. 

A mathematical model for efficient extraction of key locations from point-cloud data in track area

During the construction of a metro system, it is inevitable that deviations will occur between the excavated tunnel and the original designed scheme. As such, it is necessary to adjust the designed scheme to accommodate these discrepancies. Specifically, the adjustment of the designed scheme involves a rigorous process of repeatedly selecting and verifying the feasibility of the proposed modifications using point-cloud data obtained from the tunnel. However, this process can be considerably time-consuming due to the large-scale and potentially redundant nature of the point-cloud data. This paper proposes a mathematical model for point-cloud data acquired in measuring a mined tunnel, which may deviate from the originally designed one. The modeling, which mainly includes determining its normal plane, and building the equation of tunnel point-cloud data, is to quickly extract several key locations in the tunnel surface for modifying the original design in order to achieve a minimum error between the modified design and the mined tunnel. In comparison with the conventional processing of extracting several key locations directly from point-cloud data, our model shows a significant promotion of extraction efficiency under an acceptable error bound. The model is tested in a real tunnel point-cloud data and the testing results confirm the increase of fitting accuracy and the decrease of computational load.

Numerical simulation of interaction properties at wall-to-tie-column interface for confined masonry walls

The confined masonry (CM) structure consists of load bearing walls strengthened with nominally reinforced concrete tie-elements at the perimeter and other key locations. Various simulation studies using finite element analysis have been performed on CM walls for a better understanding of their response under in-plane and out-of-plane loads. However, for a reliable simulation of response, it is important to define the realistic interaction properties at the wall-to-tie-column interface for CM walls. The current method of defining the wall-to-tie column interaction for numerical simulation is either using monolithic interaction or frictional contact. This simplified assumption results in stiffer or flexible response of the CM walls. Thus, in the present study, the wall-to-tie-column interaction properties were evaluated using experimental and analytical investigation. Initially, flexure (tension) and shear bond tests were conducted on sub-assemblages consisting of masonry and concrete. The tensile and shear bond properties obtained from the experiments were used to calibrate the cohesive and friction interaction properties for numerical analysis. The proposed interaction properties such as bond stiffness, damage initiation, and damage evoluation provided better simulation of in-plane response of CM walls.

Thermochemical non-equilibrium hypersonic flow over a rectangular cavity embedded on a compression ramp

This paper reports a systematic computational investigation that elucidates the fundamental thermochemical non-equilibrium physics that occurs when air at Mach number of 11 encounters a rectangular cavity of aspect ratio L/D = 2.0 embedded on a 25° compression ramp. The mechanistic details of this highly complex flow phenomenon are obtained by solving the compressible form of the Navier–Stokes equations in two dimensions using a finite-volume open-source library. Chemical and thermal non-equilibrium processes are treated using a five-species, 12-reaction chemical kinetics, and a two-temperature model, respectively. Following a detailed validation and grid sensitivity study, two simulations are conducted, one with isothermal boundary conditions and the other with conjugate heat transfer (CHT) to identify the effect of energy transmission to the material on surface heat flux. Fast Fourier transforms and near-wall velocity profiles inside and in the neighborhood of the cavity are used to identify primary oscillatory modes and shear layer dynamics. Two new descriptive states defined as “states I and II,” representative of the minimum and maximum deflection of the shear layer, are used to discuss the dynamical behaviors in the cavity, including the separation region before the cavity, trailing edge effects, frequency analysis of probe data collected at several key locations, and the effect of CHT on surface heat flux. It is found that the flow features at the cavity's center strongly influence the separation upstream of the cavity, and the transrotational temperature near the cavity's trailing edge is strongly correlated with the oscillations of the shear layer.

Production of CRISPR-Cas9 Transgenic Cell Lines for Knocksideways Studies.

Protein activity is generally functionally integrated and spatially restricted to key locations within the cell. Knocksideways experiments allow researchers to rapidly move proteins to alternate or ectopic regions of the cell and assess the resultant cellular response. Briefly, individual proteins to be tested using this approach must be modified with moieties that dimerize under treatment with rapamycin to promote the experimental spatial relocalizations. CRISPR technology enables researchers to engineer modified protein directly in cells while preserving proper protein levels because the engineered protein will be expressed from endogenous promoters. Here we provide straightforward instructions to engineer tagged, rapamycin-relocalizable proteins in cells. The protocol is described in the context of our work with the microtubule depolymerizer MCAK/Kif2C, but it is easily adaptable to other genes and alternate tags such as degrons, optogenetic constructs, and other experimentally useful modifications. Off-target effects are minimized by testing for the most efficient target site using a split-GFP construct. This protocol involves no proprietary kits, only plasmids available from repositories (such as addgene.org). Validation, relocalization, and some example novel discoveries obtained working with endogenous protein levels are described. A graduate student with access to a fluorescence microscope should be able to prepare engineered cells with spatially controllable endogenous protein using this protocol. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Choosing a target site for gene modification Basic Protocol 2: Design of gRNA(s) for targeted gene modification Basic Protocol 3: Split-GFP test for target efficiency Basic Protocol 4: Design of the recombination template and analytical primers Support Protocol 1: Design of primers for analytical PCR Basic Protocol 5: Transfection, isolation, and validation of engineered cells Support Protocol 2: Stable transfection of engineered cells with binding partners.

Optimal PV Distributed Generators Allocation using Metaheuristic Algorithm to Enhance Voltage Profile

In this paper, the authors propose a methodology to identify the key locations to install integration of Solar & windbased distributed generators((DG) and the optimal amount of CapacityDGs required to maintain a steady voltage profile and voltage stability. The optimal amount of DG required is obtained via Gorilla troops optimizer(GTO)Metaheuristic algorithm and ,the locations where Integration of DG installation results in maximum benefit are obtained through the voltage stability index. The methodology tested in the Indian28 bus system shows that the proposed technique effectively identifies the critical locations and optimizes the required Integration DG capacity.

A Real-Time Subway Driver Action Sensoring and Detection Based on Lightweight ShuffleNetV2 Network

The driving operations of the subway system are of great significance in ensuring the safety of trains. There are several hand actions defined in the driving instructions that the driver must strictly execute while operating the train. The actions directly indicate whether equipment is normally operating. Therefore, it is important to automatically sense the region of the driver and detect the actions of the driver from surveillance cameras to determine whether they are carrying out the corresponding actions correctly or not. In this paper, a lightweight two-stage model for subway driver action sensoring and detection is proposed, consisting of a driver detection network to sense the region of the driver and an action recognition network to recognize the category of an action. The driver detection network adopts the pretrained MobileNetV2-SSDLite. The action recognition network employs an improved ShuffleNetV2, which incorporates a spatial enhanced module (SEM), improved shuffle units (ISUs), and shuffle attention modules (SAMs). SEM is used to enhance the feature maps after convolutional downsampling. ISU introduces a new branch to expand the receptive field of the network. SAM enables the model to focus on important channels and key spatial locations. Experimental results show that the proposed model outperforms 3D MobileNetV1, 3D MobileNetV3, SlowFast, SlowOnly, and SE-STAD models. Furthermore, a subway driver action sensoring and detection system based on a surveillance camera is built, which is composed of a video-reading module, main operation module, and result-displaying module. The system can perform action sensoring and detection from surveillance cameras directly. According to the runtime analysis, the system meets the requirements for real-time detection.

Multimodality Quantification of Thrombus Deposition in Extracorporeal Membrane Oxygenation (ECMO); Correlating Oxygenator Computed Tomography Imaging, Electron Microscopy and Histology to Clinical Outcomes

Introduction: Extracorporeal membrane oxygenation (ECMO) is essential for supporting cardiopulmonary function in critically ill patients, However, ECMO incurs thrombogenic risks due to activation of coagulation factors and blood cells by the biomaterial surfaces. This leads to complications such as frequent device replacement and systemic embolization despite the use of anticoagulation, suggesting additional mechanisms contribute to medical device-associated thrombosis. We propose that the geometry of the ECMO oxygenator significantly influences the structure and extent of clot formation and stability. To investigate this, we employed quantitative imaging and histologic techniques for a high-resolution, three-dimensional analysis of clot morphology in ECMO components, aiming to enhance our understanding of clot formation mechanisms, correlate these observations to clinical outcomes, and develop effective mitigation strategies. Methods: We developed a prospective study in which patients consented to the collection of blood samples, used ECMO components, and collection of relevant clinical variables. Computed tomography (CT) images were acquired using an Inveon microCT. H&E stains, scanning electron microscopy (SEM), and CT images were processed through the Dragonfly software to accomplish a 3D visualization and analysis of clot composition. Clinical demographics and ECMO characteristics were recorded for each patient. Results: Digital photographs of used oxygenators are displayed in figure (A). Through CT scans, we quantified clot formation of distinct densities across the layers of the ECMO oxygenator (D). The results were able to quantify intraoxygenator thrombosis with high fidelity (27.65%, 14.56%, and 26.35% of the available membrane area was thrombosed across three representative oxygenators). Using a frontal CT scan to investigate clot formation identified five layers of varying structures across the intended path of blood flow (B). Clot formation was observed in layer 4 and layer 5, in which thrombosis occluded up to 12.2% of the layer on average. The overall ranking of clot formation under hemodynamic performance changes for all five layers was as follows: layer 5 > layer 4 > layer 1 = layer 2 >> layer 3. The use of anticoagulation at the time of ECMO decannulation significantly reduced the content of clot formation (P<0.0001). We then correlated digital biomarkers from imaging with thrombus composition. Detailed histological examination (HE) and SEM was undertaken on dismantled oxygenators (B & C). We focused on thrombi at the interfaces and within the hollow fibers of the oxygenator. SEM and HE staining illustrated increased thickness, length, and density of fibrin structures in the thrombi from layer 5 to layer 4, whereas the numbers of platelets and cells decreased. Overall, layer 5 exhibited the most diverse types of thrombi, including blood cell-rich, platelet-rich, and fibrin-rich clots. We also observed aligned clots and significant clot formation in the hollow fiber area of layer 4, reflecting the geometry of the specific layer. Discussion: This pilot study examined the potential for imaging-based modalities to evaluate device associated thrombosis ex vivo, correlating these imaging findings to direct observations of thrombus composition and location. This methodology provides a platform to investigate ECMO device failure, identifying the key locations within select oxygenators where local device modification may be of most benefit. Future research will prioritize designing membrane oxygenator properties to minimize thrombus deposition, and will allow us to incorporate the use of serial imaging endpoints in future clinical trials evaluating medical device-associated thrombosis.