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278
datasets available to search
ShareScore release 0.9.0
Dataset results
278 results for “cytometry”
CTC identification and characterization in prostate cancer using K/V protocol and imaging flow cytometry - part 11
<p>This project aimed to identify and characterize circulating tumor cells (CTCs) in peripheral blood of 33 prostate cancer patients. Fraction of peripheral blood mononuclear cells putatively containing CTCs was isolated using density gradient centrifugation. Pan-keratin/vimentin/CD45/CD31/DAPI immunofluorescent staining was performer and DAPI+ or DAPI+CD45/CD31- objects were collected using Amnis® ImageStream®XMk II, Cytek® Biosciences, Inc (lasers: 405 nm, 488 nm, 642 nm, magnification 40x, slow speed flow).</p>
CTC identification and characterization in prostate cancer using K/V protocol and imaging flow cytometry - part 10
<p>This project aimed to identify and characterize circulating tumor cells (CTCs) in peripheral blood of 33 prostate cancer patients. Fraction of peripheral blood mononuclear cells putatively containing CTCs was isolated using density gradient centrifugation. Pan-keratin/vimentin/CD45/CD31/DAPI immunofluorescent staining was performer and DAPI+ or DAPI+CD45/CD31- objects were collected using Amnis® ImageStream®XMk II, Cytek® Biosciences, Inc (lasers: 405 nm, 488 nm, 642 nm, magnification 40x, slow speed flow).</p>
CTC identification and characterization in prostate cancer using K/V protocol and imaging flow cytometry - part 9
<p>This project aimed to identify and characterize circulating tumor cells (CTCs) in peripheral blood of 33 prostate cancer patients. Fraction of peripheral blood mononuclear cells putatively containing CTCs was isolated using density gradient centrifugation. Pan-keratin/vimentin/CD45/CD31/DAPI immunofluorescent staining was performer and DAPI+ or DAPI+CD45/CD31- objects were collected using Amnis® ImageStream®XMk II, Cytek® Biosciences, Inc (lasers: 405 nm, 488 nm, 642 nm, magnification 40x, slow speed flow).</p>
CTC identification and characterization in prostate cancer using K/V protocol and imaging flow cytometry - part 6
<p>This project aimed to identify and characterize circulating tumor cells (CTCs) in peripheral blood of 33 prostate cancer patients. Fraction of peripheral blood mononuclear cells putatively containing CTCs was isolated using density gradient centrifugation. Pan-keratin/vimentin/CD45/CD31/DAPI immunofluorescent staining was performer and DAPI+ or DAPI+CD45/CD31- objects were collected using Amnis® ImageStream®XMk II, Cytek® Biosciences, Inc (lasers: 405 nm, 488 nm, 642 nm, magnification 40x, slow speed flow).</p>
CTC identification and characterization in prostate cancer using K/V protocol and imaging flow cytometry - part 4
<p>This project aimed to identify and characterize circulating tumor cells (CTCs) in peripheral blood of 33 prostate cancer patients. Fraction of peripheral blood mononuclear cells putatively containing CTCs was isolated using density gradient centrifugation. Pan-keratin/vimentin/CD45/CD31/DAPI immunofluorescent staining was performer and DAPI+ or DAPI+CD45/CD31- objects were collected using Amnis® ImageStream®XMk II, Cytek® Biosciences, Inc (lasers: 405 nm, 488 nm, 642 nm, magnification 40x, slow speed flow).</p>
CTC identification and characterization in prostate cancer using K/V protocol and imaging flow cytometry - part 7
<p>This project aimed to identify and characterize circulating tumor cells (CTCs) in peripheral blood of 33 prostate cancer patients. Fraction of peripheral blood mononuclear cells putatively containing CTCs was isolated using density gradient centrifugation. Pan-keratin/vimentin/CD45/CD31/DAPI immunofluorescent staining was performer and DAPI+ or DAPI+CD45/CD31- objects were collected using Amnis® ImageStream®XMk II, Cytek® Biosciences, Inc (lasers: 405 nm, 488 nm, 642 nm, magnification 40x, slow speed flow).</p>
AI-based imaging flow cytometry approach to study erythrophagocytosis
<p><span>Erythrophagocytosis is a process consisting of recognition, engulfment and digestion by phagocytes of antibody-coated or damaged erythrocytes. Understanding the dynamics that are behind erythrophagocytosis is fundamental to comprehend this cellular process under specific circumstances. Several techniques have been used to study phagocytosis. Among these, an interesting approach is the use of Imaging Flow Cytometry (IFC) to distinguish internalization and binding of cells or particles. However, this method requires laborious analysis. Here, we introduce a novel approach to analyze the phagocytosis process by applaying Amnis Artificial Intelligence (AAI) to IFC. Our study demonstrates that this approach is<span> </span>highly suitable to study erythrophagocytosis, categorizing internalized, bound and non-bound erythrocytes. Validation experiments showed that our pipeline performs with high accuracy and reproducibility.</span></p>
Results of IMC-Denoise: a content aware pipeline to enhance Imaging Mass Cytometry
<ul> <li>Generated training sets: <ul> <li>training_set_supp_table6.zip</li> <li>training_set_supp_table7.zip</li> <li>training_set_supp_table8.zip</li> <li>training_set_supp_table9.zip</li> <li>training_set_supp_table10.zip</li> <li>training_set_supp_table11.zip</li> </ul> </li> <li>Trained weights of experimental data: <ul> <li>training_result_supp_table7.zip</li> <li>training_result_supp_table8.zip</li> <li>training_result_supp_table9.zip</li> <li>training_result_supp_table10.zip</li> <li>training_result_supp_table11.zip</li> </ul> </li> <li>Simulation results: <ul> <li>Simulation_results.zip</li> </ul> </li> <li>Experimental results: <ul> <li>Human_bone_marrow_IMC_denoising_results.zip</li> <li>Human_breast_cancer_IMC_denoising_results.zip</li> <li>Human_pancreatic_cancer_IMC_denoising_results.zip</li> <li>MIBI_denoising_results.zip</li> </ul> </li> <li>Ilastik-processed or manual-labeled results: <ul> <li>DIMR_Ilastik_results.zip</li> <li>background_removal_results.zip</li> <li>manual_annotated_public_datasets.zip</li> </ul> </li> <li>Extracted single cell data and the corresponding phenotyping results from both DIMR and DeepSNiF-based segmented cell masks: <ul> <li>Single_cell_analysis.zip</li> </ul> </li> </ul>
Tmem119 IAB flow cytometry dataset
<p>These files contain raw data from Tmem119 CreERT2/+ or Tmem119 CreERT2/+ IAB fl/fl mice transduced with AAV2-SYN. Brains were collected and processed 4 weeks post-transduction and run on an Attune Nxt flow cytometer. A workspace file is included to demonstrate how gating and quantification were performed.</p>
Dataset: Spectral Flow cytometry of bone marrow cells from pediatric Acute Myeloid Leukemia patients
<p>Spectral Flow cytometry dataset of bone marrow cells from pediatric Acute Myeloid Leukemia patients</p>
Dataset for "Label-free ghost cytometry for manufacturing of cell therapy products"
<p>Dataset for "Label-free ghost cytometry for manufacturing of cell therapy products"</p>
CTC identification and characterization in prostate cancer using K/V protocol and imaging flow cytometry - part 2
<p>This project aimed to identify and characterize circulating tumor cells (CTCs) in peripheral blood of 33 prostate cancer patients. Fraction of peripheral blood mononuclear cells putatively containing CTCs was isolated using density gradient centrifugation. Pan-keratin/vimentin/CD45/CD31/DAPI immunofluorescent staining was performer and DAPI+ or DAPI+CD45/CD31- objects were collected using Amnis® ImageStream®XMk II, Cytek® Biosciences, Inc (lasers: 405 nm, 488 nm, 642 nm, magnification 40x, slow speed flow).</p>
The Prognostic Value of CPCs Quantified by Flow Cytometry in Patients With Multiple Myeloma: a Prospective, Multicenter Clinical Trial
ClinicalTrials.gov study NCT06228794. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Flow Cytometry for the Study of T-Cell Populations in Hemophagocytic Lymphohistiocytosis Associated With Lymphomas
ClinicalTrials.gov study NCT06585124. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Tuberculosis Diagnosis by Flow Cytometry
ClinicalTrials.gov study NCT03639038. IPD Sharing: NO. Countries: 1. Publications: 0.
Predictive Value of Myelodysplastic Syndrome Stem Cells Determined by Multiparameter Flow Cytometry
ClinicalTrials.gov study NCT06569095. IPD Sharing: NO. Countries: 1. Publications: 0.
Pilot Study to Establish a Repertoire of Megakaryocyte Markers, Quantifiable by Spectral Flow Cytometry, in Bone Marrow and Circulating in Patients Undergoing Cardiac Surgery for Bypass Grafting
ClinicalTrials.gov study NCT07026851. IPD Sharing: NO. Countries: 1. Publications: 0.
Sputum Cytometry Analysis in Lung Cancer Screening After Professional Asbestos Exposure
ClinicalTrials.gov study NCT01687647. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Higher Percentage of CD34+ CD38- Cells Detected by Multiparameter Flow Cytometry From Leukapheresis Products Predicts Unsustained Complete Remission in Acute Myeloid Leukemia
ClinicalTrials.gov study NCT02842112. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Optimization of Time-of-Flight Mass Cytometry (CyTOF) Analysis for Evaluation of Immune Changes Following Surgery
ClinicalTrials.gov study NCT01882569. IPD Sharing: Not stated. Countries: 1. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.