Real-time Visualization Tool Research Articles

Research progress of organic small probes sensitive to tumor microenvironment

The development, metastasis, and spread of malignant tumors are closely associated with the inherent properties of tumor cells. These tumors often exhibit low pH, low polarity, high viscosity, and hypoxia. Understanding these characteristics is essential for early cancer detection and monitoring treatment effectiveness. Small molecule fluorescent probes have emerged as powerful tools for real-time localization, dynamic detection, and visualization of tumors. In this paper, we review recent progress in the use of these probes to study tumor biology, focusing on their design strategies, response mechanisms, and preclinical applications for detecting pH, viscosity, polarity, and hypoxia.

Improved ex vivo fluorescence imaging of human head and neck cancer using the peptide tracer TPP-IRDye800 targeting membrane-bound Hsp70 on tumor cells

BackgroundThe primary goal of surgery in HNSCC is the complete resection of tumor cells with maximum preservation of normal tissue. The membrane Hsp70-targeting fluorescence labelled peptide TPP-IRDye800 represents a promising tool for real-time intraoperative tumor visualization, enabling the detection of true tumor margins, critical isles of high-grade dysplasia and LN metastases.MethodsMembrane Hsp70 (mHsp70) expression on HNSCC cell lines and primary HNSCC was determined by flow cytometry and fluorescence microscopy using FITC-conjugated mAb cmHsp70.1 and TPP. TPP-IRDye800 was sprayed on freshly resected tumor material of immunohistochemically confirmed HNSCC and LN metastases for tumor imaging. TBRs were compared using TPP-IRDye800 and Cetuximab-IRDye680, recognizing EGFR.ResultsmHsp70 expressing HNSCC cells specifically bind and internalize TPP in vitro. The TBR (2.56 ± 0.39) and AUC [0.98 CI, 0.95–1.00 vs. 0.91 CI, 0.85–0.97] of TPP-IRDye800 on primary HNSCC was significantly higher than Cetuximab-IRDye680 (1.61 ± 0.39) (p = 0.0068) and TPP-IRDye800 provided a superior tumor delineation. Fluorescence imaging showed higher AUC values than a visual inspection by surgeons [0.97 CI, 0.94–1.00 vs. 0.92 CI, 0.88–0.97] (p = 0.048). LN metastases could be visualized using TPP-IRDye800. Real-time tissue delineation was confirmed using the clinically applied KARL-STORZ imaging system.ConclusionTPP-IRDye800 is a promising fluorescence imaging probe for HNSCC.

A Comprehensive Review of Sustainable Assessment and Innovation in Jet Grouting Technologies

A Comprehensive Review of Sustainable Assessment and Innovation in Jet Grouting Technologies

ANALYSIS AND DEVELOPMENT OF A SMART NOISE INFORMATION COLLECTION SYSTEM BASED ON THE SPECTRUM ANALYZER SVAN 958A

This paper presents the analysis and development of a smart noise information collection system utilizing the Spectrum Analyzer SVAN 958A to enhance real-time noise monitoring and data analysis. The study addresses the limitations of traditional noise measurement tools, which often lack real-time processing and comprehensive integration with modern data management platforms. By leveraging the SVAN 958A’s advanced frequency domain analysis capabilities and integrating it with IoT-based technologies and machine learning algorithms, the proposed system aims to improve noise data accuracy, automation, and scalability. Through the design and implementation of a real-time data processing framework, the system enables precise noise source identification and facilitates immediate response to noise pollution issues. The system’s performance was validated in various urban and industrial noise environments, demonstrating significant improvements in noise data collection accuracy, with enhanced signal differentiation by up to 35% over traditional methods. Additionally, real-time data visualization tools were developed to support regulatory compliance and decision-making processes. The results of this research suggest that the proposed smart noise information collection system can serve as an efficient tool for environmental noise monitoring, offering both practical benefits for public health and potential applications in smart city infrastructure. The system also opens avenues for further research in integrating advanced analytics into acoustic monitoring frameworks, contributing to the ongoing development of smart environmental management technologies.

Illuminating cisplatin-induced ferroptosis in non-small-cell lung cancer with biothiol-activatable fluorescent/photoacoustic bimodal probes.

Ferroptosis modulation represents a pioneering therapeutic approach for non-small-cell lung cancer (NSCLC), where precise monitoring and regulation of ferroptosis levels are pivotal for achieving optimal therapeutic outcomes. Cisplatin (Cis), a widely used chemotherapy drug for NSCLC, demonstrates remarkable therapeutic efficacy, potentially through its ability to induce ferroptosis and synergize with other treatments. However, in vivo studies of ferroptosis face challenges due to the scarcity of validated biomarkers and the absence of reliable tools for real-time visualization. Biothiols emerge as suitable biomarkers for ferroptosis, as their concentrations decrease significantly during this process. To address these challenges, fluorescence/photoacoustic (PA) bimodal imaging offers a promising solution by providing more accurate in vivo information on ferroptosis. Therefore, the development of methods to detect biothiols using fluorescence/PA bimodal imaging is highly desirable for visualizing ferroptosis in NSCLC. In this study, we designed and constructed two activatable near-infrared (NIR) fluorescent/PA bimodal imaging probes specifically for visualizing ferroptosis by monitoring the fluctuations in biothiol levels. These probes exhibited excellent bimodal response performance in solution, cells, and tumors. Furthermore, they were successfully applied for real-time monitoring of biothiol changes during the ferroptosis process in NSCLC cells and tumors. Importantly, our findings revealed that the combined use of erastin and cisplatin exacerbates the consumption of biothiols, suggesting an enhancement of ferroptosis in NSCLC. This work not only provides powerful tools for monitoring in vivo ferroptosis but also facilitates the study of ferroptosis mechanisms and holds the potential to further advance the treatment of NSCLC.

The Intensive Care Unit Bundle Board: A Novel Real-Time Data Visualization Tool to Improve Maintenance Care for Invasive Catheters.

Critically ill patients are at greater risk of healthcare-associated infections (HAIs). The use of maintenance bundles helps to reduce this risk but also generates a rapid accumulation of complex data that is difficult to aggregate and subsequently act upon. We hypothesized that a digital display summarizing nursing documentation of invasive catheters (including central venous access devices, arterial catheters, and urinary catheters) would improve invasive device maintenance care and documentation. Our secondary objectives were to see if this summary would reduce the duration of problematic conditions, that is, characteristics associated with increased risk of infection. We developed and implemented a data visualization tool called the "Bundle Board" to display nursing observations on invasive devices. The intervention was studied in a 28-bed medical intensive care unit (MICU). The Bundle Board was piloted for 6 weeks in June 2022 and followed by a comparison phase, where one MICU had Bundle Board access and another MICU at the same center did not. We retrospectively applied tile color coding logic to prior nursing documentation from 2021 until the pilot phase to facilitate comparison pre- and post-Bundle Board release. After adjusting for time, other quality improvement efforts, and nursing shift, multiple linear regression demonstrated a statistically significant improvement in the completion of catheter care and documentation during the pilot phase (p < 0.0001) and comparison phase (p = 0.002). The median duration of documented problematic conditions was significantly reduced during the pilot phase (p < 0.0001) and in the MICU with the Bundle Board (comparison phase, p = 0.027). We successfully developed a data visualization tool that changed ICU provider behavior, resulting in increased completion and documentation of maintenance care and reduced duration of problematic conditions for invasive catheters in MICU patients.

Utilizing indocyanine green video angiography to bridge intracranial aneurysm treatment gaps in low- and middle-income countries: a mini-review.

Intracranial aneurysms, affecting 2%-5% of the population, pose a significant challenge to neurosurgeons due to their potential to cause subarachnoid haemorrhage and high mortality rates. Intraoperative angiography is necessary for effective surgical planning and indocyanine green video angiography (ICG-VA) has emerged as a useful tool for real-time visualization of aneurysmal blood flow, aiding in better planning for potential blood flow and detection of aneurysm remnants. This mini narrative review explores the application of ICG-VA in intracranial aneurysm surgery. Compared with conventional dye-based angiography, ICG-VA is safer, more effective and more cost-effective. It can assess haemodynamic parameters, cerebral flow during temporary artery occlusion, completeness of clipping and patency of branch vessels. However, implementing ICG-VA in low- and middle-income countries presents challenges such as financial constraints, limited access to training and expertise, patient selection and consent issues. Addressing these obstacles requires capacity-building, training programmes for neurosurgeons and multidisciplinary teams, technology transfer, equipment donations, public-private partnerships, continued research and development, reducing conventional dye usage, reducing ICG wastage, exploring mechanisms to reuse ICG dyes and advocating for increased government funding and healthcare budgets.

Evaluation of feeding difficulties using videofluoroscopic swallow study and swallowing therapy in infants and children.

Infants and children with feeding difficulties have swallowing dysfunction and high risk of aspiration, which could be silent without choking, resulting in recurrent pneumonia and long-term respiratory morbidity. Videofluoroscopic swallow study (VFSS) is a useful tool for real-time visualization of the swallowing process and airway aspiration. This study reported a single-institutional 10-year experience of VFSS in pediatric patients with feeding difficulties and the efficacy of swallowing therapy. From 2011 to 2020, 30 infants and children with feeding difficulties received VFSS examinations in a medical center at a median age of 19 months (range 7 days-8 years). The images of the swallowing process (oral phase, triggering of pharyngeal swallowing, and pharyngeal phase) under videofluoroscopy were analyzed by a radiologist and a speech-language pathologist. Aspiration severity was assessed from VFSS observations and rated by an eight-point Penetration-Aspiration-Scale (PAS), with higher scores indicating increased severity. Swallowing therapy was performed by experienced speech-language therapists, and follow-up of oral feeding tolerance and risk of aspiration pneumonia was done. Of the 30 patients, 24 (80%) had neurological deficits. High PAS scores (6-8) were observed in 25 (83.4%) patients, and 22 had a PAS score of 8, indicating silent aspiration. Of the 25 patients with high PAS scores, 19 (76%) had neurological deficits, and 18 (72%) depended on tube feeding at a median age of 20 months. Swallowing problems occurred most frequently during the pharyngeal phase in the patients with high PAS scores. VFSS-based swallowing therapy improved oral feeding ability and reduced aspiration episodes. Infants and children with swallowing dysfunction and neurological deficits had high risk of severe aspiration. Swallowing problems in the pharyngeal phase were the most common VFSS findings in patients with severe aspiration. VFSS may help guide problem-oriented swallowing therapy to reduce the risk of recurrent aspiration.

SolVis: A pilot study to facilitate understanding of real-time solar energy production through energy visualizations in learning environments

The transition to a carbon neutral society requires actions on all levels of society. Hereby, renewable energy - especially considering the current European energy crisis – such as solar energy will play an increasing role. To promote a more extensive use of solar energy and thus contributing to a faster energy transition, it is valuable to engage all citizens, not least children. How can real-time visualization of solar energy production in learning environments contribute to increased understanding of energy production and consumption? Educational environments can be a powerful platform to cultivate an interest in more environmentally and sustainable behaviour at an early age. However, energy is intangible, abstract, and difficult to grasp for non-experts. Digital tools incorporating energy visualization may be able to facilitate an increased understanding of energy units and measurements. The City of Gothenburg, Sweden, has the ambition to place photovoltaics on all roofs of schools and kindergartens, a process that is already in progress. The solar energy production is measured in real-time and only used for building operation management. This paper presents a study that develops a concept for a digital and educational visualization tool for school children aged 9 to 12, with the goal to engage, facilitate a lasting learning outcome, and awaken curiosity in solar energy. A prototype of a real-time visualization tool was developed, which in a playful way visualises the solar electricity production of the school property and compares it to the energy consumption of everyday activities, displayed on a centrally placed screen in the school. It was installed in four pilot schools and evaluated with 233 pupils. Results indicate several potentials of the visualization: to communicate local solar energy production to pupils, triggering thoughts, ideas, and a will to continue to learn more about solar energy production.

Fluorescent and theranostic probes for imaging nicotinamide phosphoribosyl transferase (NAMPT)

Nicotinamide phosphoribosyl transferase (NAMPT) has been regarded as an attractive target for cancer therapy. However, there is a lack of chemical tools for real-time visualization and detection of NAMPT. Herein, the first fluorescent and theranostic probes were designed for imaging NAMPT, which had dual functions of diagnosis and treatment. The designed probes possessed good affinity and environmental sensitivity to NAMPT with a turn-on mechanism and were successfully applied in fluorescence detecting and imaging of NAMPT at the level of living cells and tissue sections. They also effectively inhibited tumor cell proliferation and arrested cell cycle at the G2 phase. These fluorescent probes enabled detection and visualization of NAMPT, representing effective chemical tools for the pathological diagnosis and treatment of cancer.

Visualized Gallium/Lyticase-Integrated Antifungal Strategy for Fungal Keratitis Treatment.

Fungal keratitis has been one of the common corneal infections that causes blindness, but an effective antifungal strategy remains a challenge. The exopolysaccharides both in the fungal cell walls and biofilms are a key that acts as a permeation barrier to weaken the therapeutic effect of antifungal agents. Herein, lyticase and gallium ions co-integrated nanosystems (MLPGa) are presented that can degrade exopolysaccharides and then effectively eradicate both planktonic Candida albicans and mature biofilms. The potential antifungal mechanism involves reactive oxygen species (ROS) production and metabolic interference of antioxidant-related genes, exopolysaccharide-related genes, iron-ion-utilization-related genes, fungal/biofilm-development-related genes, and virulence genes. Meanwhile, the Raman signals generated by the chelation between the nanosystems and the gallium ions provide a real-time visualization tool to monitor Ga release. Finally, the MLPGa-based antifungal strategy with good biocompatibility achieves a satisfactory therapeutic effect in a fungal keratitis mouse model. This study provides a unique approach to the effective treatment of fungal keratitis in clinical practice.

H2O2-Activated NIR-II Fluorescent Probe with a Large Stokes Shift for High-Contrast Imaging in Drug-Induced Liver Injury Mice.

Drug-induced liver injury (DILI) is the most common clinical adverse drug reaction, which is closely associated with the oxidative stress caused by overproduced reactive oxygen species. Hepatic H2O2, as an important biomarker of DILI, plays a crucial role in the progression of DILI. However, there remains a challenge to develop H2O2-activatable second near-infrared (NIR-II, 1000-1700 nm) small molecular probes with both a large Stokes shift and a long emission wavelength beyond 950 nm. Herein, we developed an activatable NIR-II fluorescent probe (IR-990) with an acceptor-π-acceptor (A-π-A) skeleton for real-time detection of H2O2 in vivo. In the presence of H2O2, nonfluorescent probe IR-990 was successfully unlocked by generating a donor-π-acceptor (D-π-A) structure and switched on intense NIR-II fluorescence, exhibiting a peak emission wavelength at 990 nm and a large Stokes shift of 200 nm. Moreover, it was able to detect H2O2 with high sensitivity and selectivity in vitro (LOD = 0.59 μM) and monitor the behavior of endogenous H2O2 in the HepG2 cell model of DILI for the first time. Notably, probe IR-990 was successfully applied in real-time imaging of endogenous H2O2 generation in the DILI mouse model, showing a high signal-to-background ratio of 11.3/1. We envision that IR-990 holds great potential as a powerful diagnosis tool for real-time visualization of H2O2 in vivo and revealing the mechanism of DILI in the future.

MicrobioSee: A Web-Based Visualization Toolkit for Multi-Omics of Microbiology.

With the upgrade and development of the high-throughput sequencing technology, multi-omics data can be obtained at a low cost. However, mapping tools that existed for microbial multi-omics data analysis cannot satisfy the needs of data description and result in high learning costs, complex dependencies, and high fees for researchers in experimental biology fields. Therefore, developing a toolkit for multi-omics data is essential for microbiologists to save effort. In this work, we developed MicrobioSee, a real-time interactive visualization tool based on web technologies, which could visualize microbial multi-omics data. It includes 17 modules surrounding the major omics data of microorganisms such as the transcriptome, metagenome, and proteome. With MicrobioSee, methods for plotting are simplified in multi-omics studies, such as visualization of diversity, ROC, and enrichment pathways for DEGs. Subsequently, three case studies were chosen to represent the functional application of MicrobioSee. Overall, we provided a concise toolkit along with user-friendly, time-saving, cross-platform, and source-opening for researchers, especially microbiologists without coding experience. MicrobioSee is freely available at https://microbiosee.gxu.edu.cn.

FRET Imaging of Rho GTPase Activity with Red Fluorescent Protein-Based FRET Pairs.

With the development of fluorescent proteins (FPs) and advanced optical microscopy techniques, Förster or fluorescence resonance energy transfer (FRET) has become a powerful tool for real-time noninvasive visualization of a variety of biological processes, including kinase activities, with high spatiotemporal resolution in living cells and organisms. FRET can be detected in appropriately configured microscopes as changes in fluorescence intensity, lifetime, and anisotropy. Here, we describe the preparation of samples expressing FP-based FRET sensors for RhoA kinase, intensity- and lifetime-based FRET imaging, and postimaging data analysis.

Direct visualization of drug behaviors in the upper GI tract via magnetically controlled capsule endoscopy

Background and AimsActual behaviors of drugs in the upper GI tract are not well elucidated. We assess the feasibility of magnetically controlled capsule endoscopy (MCE) in direct and real-time visualization of oral drug behaviors in the stomach.MethodsFrom November 2019 to December 2019, 9 patients with a recent history of upper GI symptoms and 10 healthy volunteers were enrolled in this study. Participants swallowed magnetically controlled capsules to examine the whole stomach. After baseline examination, participants ingested dyed sucralfate gel, and MCE recorded the adhesion time, retention time, and distribution area of sucralfate gel. Outcomes included behaviors of sucralfate gel, safety, and satisfaction assessment of the procedures.ResultsAdhesion time of sucralfate gel in the abdominal symptoms group was significantly shorter than in the healthy control group (23.76 ± 1.37 minutes vs 31.96 ± 3.09 minutes; P = .032), whereas retention time was longer (98.85 ± 13.94 minutes vs 63.93 ± 8.57 minutes; P = .043). The distribution area of sucralfate gel in the abdominal symptoms group was significantly larger than in healthy control group in cardia (24.29 ± 7.39 vs 9.18 ± 4.06; P < .0001), fundus (18.90 ± 7.08 vs 8.49 ± 4.10; P = .0015), and pylorus (4.64 ± 2.72 vs 0.94 ± 0.90; P = .0019). No adverse events were observed. All participants had a high degree of satisfaction.ConclusionsMCE is a feasible and noninvasive tool for direct and real-time visualization of drug behaviors (eg, sucralfate gel) in the stomach. (ClinicalTrials.gov. ID: NCT04327869.)

Good Data, Good Law

Real-time data is crucial in delivering actionable information, yet sparse in the criminal justice space. Often, practitioners and policy makers (“System Actors”), are forced to rely on information that is missing, incorrect, and/or outdated. Recidiviz, a nonpartisan tech non-profit, enables System Actors to make data-driven decisions as part of their regular workflows. This article describes Recidiviz’s work modeling the projected influence of eliminating mandatory minimums in Virginia, including state costs avoided, impact on the prison population, and number of life-years individuals would regain by avoiding incarceration. Recidiviz calculated that if Virginia eliminated mandatory minimums for drug sales offenses only, over the next five years, it could avoid a cumulative $11.6 million in incarceration costs, give 360 years of life back to people, and decrease the prison population’s racial disparity. If Virginia eliminated all mandatory minimums, as SB 5046 proposes, it could help the Commonwealth avoid $80.2 million in costs and give back 2,496 years of life over five years. In addition to policy impact modeling, Recidiviz’s core work is in partnering with state corrections and supervision departments to provide real-time feedback and data visualization tools.

FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization

Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical image fusion, infrared-visible image fusion for autonomous driving as well as multi-focus and multi-exposure image fusion for satellite imagery. However, it is challenging to analyze the reliability of these CNNs for the image-fusion tasks since no groundtruth is available. This led to the use of a wide variety of model architectures and optimization functions yielding quite different fusion results. Additionally, due to the highly opaque nature of such neural networks, it is difficult to explain the internal mechanics behind its fusion results. To overcome these challenges, we present a novel real-time visualization tool, named FuseVis, with which the end-user can compute per-pixel saliency maps that examine the influence of the input image pixels on each pixel of the fused image. We trained several image fusion-based CNNs on medical image pairs and then using our FuseVis tool we performed case studies on a specific clinical application by interpreting the saliency maps from each of the fusion methods. We specifically visualized the relative influence of each input image on the predictions of the fused image and showed that some of the evaluated image-fusion methods are better suited for the specific clinical application. To the best of our knowledge, currently, there is no approach for visual analysis of neural networks for image fusion. Therefore, this work opens a new research direction to improve the interpretability of deep fusion networks. The FuseVis tool can also be adapted in other deep neural network-based image processing applications to make them interpretable.

Ranking places in attributed temporal urban mobility networks.

Drawing on the recent advances in complex network theory, urban mobility flow patterns, typically encoded as origin-destination (OD) matrices, can be represented as weighted directed graphs, with nodes denoting city locations and weighted edges the number of trips between them. Such a graph can further be augmented by node attributes denoting the various socio-economic characteristics at a particular location in the city. In this paper, we study the spatio-temporal characteristics of “hotspots” of different types of socio-economic activities as characterized by recently developed attribute-augmented network centrality measures within the urban OD network. The workflow of the proposed paper comprises the construction of temporal OD networks using two custom data sets on urban mobility in Rome and London, the addition of socio-economic activity attributes to the OD network nodes, the computation of network centrality measures, the identification of “hotspots” and, finally, the visualization and analysis of measures of their spatio-temporal heterogeneity. Our results show structural similarities and distinctions between the spatial patterns of different types of human activity in the two cities. Our approach produces simple indicators thus opening up opportunities for practitioners to develop tools for real-time monitoring and visualization of interactions between mobility and economic activity in cities.

Live-SIMBA: an ImageJ plug-in for the universal and accelerated single molecule-guided Bayesian localization super resolution microscopy (SIMBA) method.

Live-cell super-resolution fluorescence microscopy techniques allow biologists to observe subcellular structures, interactions and dynamics at the nanoscale level. Among of them, single molecule-guided Bayesian localization super resolution microscopy (SIMBA) and its derivatives produce an appropriate 50 nm spatial resolution and a 0.1-2s temporal resolution in living cells with simple off-the-shelf total internal reflection fluorescence (TIRF) equipment. However, SIMBA and its derivatives are limited by the requirement for dual-channel dataset or single-channel dataset with special design, the time-consuming calculation for extended field of view and the lack of real-time visualization tool. Here, we propose a universal and accelerated SIMBA ImageJ plug-in, Live-SIMBA, for time-series analysis in living cells. Live-SIMBA circumvents the requirement of dual-channel dataset using intensity-based sampling algorithm and improves the computing speed using multi-core parallel computing technique. Live-SIMBA also better resolves the weak signals inside the specimens with adjustable background estimation and distance-threshold filter. With improved fidelity on reconstructed structures, greatly accelerated computation, and real-time visualization, Live-SIMBA demonstrates its extended capabilities in live-cell super-resolution imaging.

Concerted localization-resets precede YAP-dependent transcription

Yes-associated protein 1 (YAP) is a transcriptional regulator with critical roles in mechanotransduction, organ size control, and regeneration. Here, using advanced tools for real-time visualization of native YAP and target gene transcription dynamics, we show that a cycle of fast exodus of nuclear YAP to the cytoplasm followed by fast reentry to the nucleus (“localization-resets”) activates YAP target genes. These “resets” are induced by calcium signaling, modulation of actomyosin contractility, or mitosis. Using nascent-transcription reporter knock-ins of YAP target genes, we show a strict association between these resets and downstream transcription. Oncogenically-transformed cell lines lack localization-resets and instead show dramatically elevated rates of nucleocytoplasmic shuttling of YAP, suggesting an escape from compartmentalization-based control. The single-cell localization and transcription traces suggest that YAP activity is not a simple linear function of nuclear enrichment and point to a model of transcriptional activation based on nucleocytoplasmic exchange properties of YAP.