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324
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Dataset results
324 results for “fluorescent imaging”
Application of ICG@HSA Complexes in Fluorescence Image-Guided Laparoscopic Anatomical Liver Resection
ClinicalTrials.gov study NCT06219096. IPD Sharing: NO. Countries: 1. Publications: 11.
Identification of Complete Lymph Node Removal by Application of Near Infrared Fluorescence Imaging in Laparoscopic and Robotic Gastrectomy
ClinicalTrials.gov study NCT01926743. IPD Sharing: Not stated. Countries: 1. Publications: 8.
The Effect of Hyperoxia and Hypoxia on Fluorescence Lifetime Imaging Ophthalmoscopy in Healthy Subjects- a Randomized, Double Blind, Crossover Study
ClinicalTrials.gov study NCT04094285. IPD Sharing: Not stated. Countries: 1. Publications: 1.
The Role of Indocyanine Green (ICG) Fluorescence Imaging on Anastomotic Leak in Robotic Colorectal Surgery
ClinicalTrials.gov study NCT02598414. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Fluorescence Imaging of IBD and RA Using Adalimumab-800CW
ClinicalTrials.gov study NCT03938701. IPD Sharing: NO. Countries: 1. Publications: 0.
Fluorescence Imaging in Sentinel Lymph Node Biopsy for Breast Cancer and Melanoma
ClinicalTrials.gov study NCT02316795. IPD Sharing: Not stated. Countries: 1. Publications: 4.
Data from: Improving automated annotation of benthic survey images using wide-band fluorescence
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Ultrafast two-photon fluorescence imaging of cerebral blood circulation in the mouse brain in vivo
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Data from: Development and evaluation of a fluorescent antibody-drug conjugate for molecular imaging and targeted therapy of pancreatic cancer
Antibodies are widely available and cost-effective research tools in life science, and antibody conjugates are now extensively used for targeted therapy, immunohistochemical staining, or in vivo diagnostic imaging of cancer. Significant advances in site-specific antibody labeling technologies have enabled the production of highly characterized and homogenous conjugates for biomedical purposes, and some recent studies have utilized site-specific labeling to synthesize bifunctional antibody conjugates with both imaging and drug delivery properties. While these advances are important for the clinical safety and efficacy of such biologics, these techniques can also be difficult, expensive, and time-consuming. Furthermore, antibody-drug conjugates (ADCs) used for tumor treatment generally remain distinct from conjugates used for diagnosis. Thus, there exists a need to develop simple dual-labeling methods for efficient therapeutic and diagnostic evaluation of antibody conjugates in pre-clinical model systems. Here, we present a rapid and simple method utilizing commercially available reagents for synthesizing a dual-labeled fluorescent ADC. Further, we demonstrate the fluorescent ADC's utility for simultaneous targeted therapy and molecular imaging of cancer both in vitro and in vivo. Employing non-site-specific, amine-reactive chemistry, our novel biopharmaceutical theranostic is a monoclonal antibody specific for a carcinoembryonic antigen (CEA) biomarker conjugated to both paclitaxel and a near-infrared (NIR), polyethylene glycol modified (PEGylated) fluorophore (DyLight™ 680-4xPEG). Using in vitro systems, we demonstrate that this fluorescent ADC selectively binds a CEA-positive pancreatic cancer cell line (BxPC-3) in immunofluorescent staining and flow cytometry, exhibits efficient internalization kinetics, and is cytotoxic. Model studies using a xenograft of BxPC-3 cells in athymic mice also show the fluorescent ADC's efficacy in detecting tumors in vivo and inhibiting tumor growth more effectively than equimolar amounts of unconjugated drug. Overall, our results demonstrate that non-selective, amine-targeting chemistry is an effective dual-labeling method for synthesizing and evaluating a bifunctional fluorescent antibody-drug conjugate, allowing concurrent detection, monitoring and treatment of cancer.
Figure 2 in Taxonomic synthesis of the eastern North American millipede genus Pseudopolydesmus (Diplopoda: Polydesmida: Polydesmidae), utilizing high-detail ultraviolet fluorescence imaging
Figure 2. Pseudopolydesmus erasus, adult male habitus, lateral view (FMNH INS3120685).
Data from: Ellipsoid segmentation model for analyzing light-attenuated 3D confocal image stacks of fluorescent multi-cellular spheroids
In oncology, two-dimensional in-vitro culture models are the standard test beds for the discovery and development of cancer treatments, but in the last decades, evidence emerged that such models have low predictive value for clinical efficacy. Therefore they are increasingly complemented by more physiologically relevant 3D models, such as spheroid micro-tumor cultures. If suitable fluorescent labels are applied, confocal 3D image stacks can characterize the structure of such volumetric cultures and, for example, cell proliferation. However, several issues hamper accurate analysis. In particular, signal attenuation within the tissue of the spheroids prevents the acquisition of a complete image for spheroids over 100 micrometers in diameter. And quantitative analysis of large 3D image data sets is challenging, creating a need for methods which can be applied to large-scale experiments and account for impeding factors. We present a robust, computationally inexpensive 2.5D method for the segmentation of spheroid cultures and for counting proliferating cells within them. The spheroids are assumed to be approximately ellipsoid in shape. They are identified from information present in the Maximum Intensity Projection (MIP) and the corresponding height view, also known as Z-buffer. It alerts the user when potential bias-introducing factors cannot be compensated for and includes a compensation for signal attenuation.
Supplementary material 1 from: Marek P (2017) Ultraviolet-induced fluorescent imaging for millipede taxonomy. Research Ideas and Outcomes 3: e14850. https://doi.org/10.3897/rio.3.e14850
Supplementary figure S1
Figure 2c from: Marek P (2017) Ultraviolet-induced fluorescent imaging for millipede taxonomy. Research Ideas and Outcomes 3: e14850. https://doi.org/10.3897/rio.3.e14850
Figure 2c - Foreleg of male Pseudopolydesmus canadensis, inset: striated muscles (top) and sphaerotrichomes (bottom)
Data and code for "Simultaneous multicolor fluorescence imaging using PSF splitting"
<p>Data and code for our paper "Simultaneous multicolor fluorescence imaging using PSF splitting".</p>
Data repository for the article: Fluorescence lifetime imaging unravels the pathway of glioma cell death upon hypericin-induced photodynamic therapy.
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Development of a multi-excitation fluorescence (MEF) imaging method to improve the information content of benthic coral reef surveys
<p>Benthic surveys are a key component of monitoring and conservation efforts for coral reefs worldwide. While traditional image-based surveys rely on manual annotation of photographs to characterise benthic composition, automatic image annotation based on computer vision is becoming increasingly common. However, accurate classification of some benthic groups from reflectance images presents a challenge to local ecologists and computers alike. Most coral reef organisms produce one or a combination of fluorescent pigments, such as Green Fluorescent Protein (GFP)-like proteins found in corals, chlorophyll-a found in all photosynthetic organisms, and phycobiliproteins found in red macroalgae, crustose coralline algae (CCA) and cyanobacteria. Building on the potential of these pigments as a target for automatic image annotation, we developed a novel imaging method based on off-the-shelf components to improve classification of coral and other biotic substrates using a multi-excitation fluorescence (MEF) imaging system. We used RGB cameras to image the fluorescence emission of coral and algal pigments stimulated by narrow-waveband blue and green light, and then combined the information into 3-channel pseudocolour images. Using a set of <i>a priori</i> rules defined by the relative pixel intensity produced in different channels, the method achieved successful classification of organisms into three categories based on the dominant fluorescent pigment expressed, facilitating discrimination of traditionally problematic groups. This work provides a conceptual foundation for future technological developments that will improve the cost, accuracy and speed of coral reef surveys.</p>
A Study of Near-Infrared Fluorescence Imaging With ICG During Reconstructive Gynecologic Surgery
ClinicalTrials.gov study NCT05071976. IPD Sharing: YES. Countries: 1. Publications: 0.
ICG Fluorescence Imaging in Trauma Patients
ClinicalTrials.gov study NCT04245111. IPD Sharing: NO. Countries: 1. Publications: 0.
Indocyanine Green Fluorescent Molecular Imaging of the Gastrointestinal Tract
ClinicalTrials.gov study NCT01112514. IPD Sharing: Not stated. Countries: 1. Publications: 0.
A Study Assessing the Safety and Effectiveness of IC2000 and SPY Fluorescence Imaging Systems (SPY-PHI) in the Visualization of Lymphatic Vessels and Identification of Lymph Nodes During Sentinel Lymp
ClinicalTrials.gov study NCT03200704. IPD Sharing: Not stated. Countries: 2. Publications: 0.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.