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Humanized model of the immune system
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iHuPBMC-T
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iHuPBMC-NK
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iHuPBMC-B
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PBMC-LT
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CD34+ HSC
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Winn model
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iHuPBMC-MHC/KO
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iHuPBMC-OncVax
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PBMC mixed inoculation model
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In vivo tumor experimental platform
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CDX
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iHuPDX
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Non-GLP Toxicology
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PK/PD
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Brain in situ model
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Other in situ models
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Hematologic tumor model system inoculation
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Creation of high interstitial tumor models
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In vitro killing experiment platform
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Immune co-culture killing model
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CDC
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In vitro killing experiment platform
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IC50
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PDC High-Throughput In Vitro Pharmacodynamics
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3D organoids
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ADCC
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T cell-mediated killing experiment
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Mouse-derived immune system model
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Tumor vaccine
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Cell therapy
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In vitro testing platform
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Non-GLP Toxicology Platform
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Non-tumor model and drug efficacy evaluation platform
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Systematic Vaccination Model
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Non-tumor model and drug efficacy evaluation platform
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Skin injury model
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Stroke model
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Liver fibrosis model
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Diabetes model
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Gouty Arthritis (GA) Model
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Pulmonary fibrosis model
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Systemic lupus erythematosus (SLE) model
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Inflammatory Bowel Disease (IBD) model
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Rheumatoid Arthritis (RA) Model
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PDX model
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PDX model
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Head and neck cancer
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Eye cancer
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Lung cancer
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Human breast cancer
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Esophageal cancer in humans
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Human gastric cancer
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Colorectal cancer
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Human liver cancer
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Gallbladder cancer
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Human kidney cancer
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Human Bladder Cancer
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Ureteral cancer
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Prostate cancer
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Cervical cancer in women
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Human Ovarian Cancer
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Human skin cancer
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sarcoma
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Human Nervous System Cancer
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Embryonal carcinoma
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Human Lymphoma
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Human leukemia
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Multiple Myeloma
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Adrenal gland
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Mesothelioma
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Other people
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CDX model
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CDX model
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Head and neck cancer
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Eye cancer
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Lung cancer
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Human breast cancer
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Esophageal cancer in humans
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Human gastric cancer
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Colorectal cancer
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Human liver cancer
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Bile duct cancer
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Gallbladder cancer
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Human pancreatic cancer
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Human kidney cancer
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Human Bladder Cancer
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Ureteral cancer
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Prostate cancer
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Uterine cancer
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Cervical cancer in women
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Human Ovarian Cancer
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Human skin cancer
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sarcoma
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Human Nervous System Cancer
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Embryonal carcinoma
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Human Lymphoma
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Human leukemia
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Multiple Myeloma
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Adrenal gland
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Mesothelioma
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Other people
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Homogeneous Model
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Homogeneous Model
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Head and neck cancer
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Eye cancer
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Lung cancer
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Breast cancer
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Stomach cancer
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Liver cancer
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Bile duct cancer
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Gallbladder cancer
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Pancreatic cancer
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Kidney cancer
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Bladder cancer
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Ureteral cancer
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Prostate cancer
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Uterine cancer
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Cervical cancer
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Ovarian cancer
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Esophageal cancer
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Skin cancer
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sarcoma
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Nervous System Cancer
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Embryonal carcinoma
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Lymphoma
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Leukemia
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Multiple Myeloma
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Adrenal gland
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Mesothelioma
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Other
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Colorectal cancer
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News Center
——
InnoModels Biotechnology: A Comprehensive Analysis of the FACS Platform's Technical Characteristics
Author:
InnoModels Biotechnology
Release time:
2024-02-01
The FACS (Fluorescence Activated Cell Sorting) platform from InnoModels Biotechnology has revolutionized the field of cellular analysis. With its outstanding features, this advanced platform provides researchers with a comprehensive and efficient solution for cellular analysis.
Features of FACS platform
1. High sensitivity and precision:
The FACS platform realizes high sensitivity and precise analysis of cells and their molecular levels with its superior fluorescence detection system. The unique optical design and advanced detection technology enable researchers to more accurately detect and analyze biomarkers on the cell surface and inside, providing a reliable tool for in-depth cellular research.
2. Multi-parameter and multi-channel analysis:
The FACS platform supports multi-parameter and multi-channel analysis for simultaneous detection of multiple markers. This feature enables researchers to obtain more comprehensive cellular information in a single experiment, providing more comprehensive data support for solving complex biological problems.
3. High throughput and rapid sorting:
The FACS platform stands out for its high-throughput cell sorting capability. It is able to process a large number of cells in a short period of time for efficient cell sorting. This provides strong support for high-throughput experiments and cell engineering studies, greatly improving research efficiency.

4. Automated operation and user-friendliness:
The platform is designed to focus on user experience with automated operation and intuitive user interface. Researchers can easily carry out experimental design, operation and data analysis, which makes the technology easier to operate, reduces the learning curve and improves the success rate of experiments.
5. Widely used in cell biology research:
The FACS platform is widely used in cell biology research, including cell cycle analysis, surface marker detection, and apoptosis analysis. Its versatility enables researchers to apply it flexibly in different cell research fields, providing comprehensive technical support for cell research.
Scientific Applications and Future Prospects
1. Immunology and immunotherapy research:
In immunology and immunotherapy research, the FACS platform can be used to analyze immune cell subpopulations, monitor cytokine release, etc., providing a powerful tool for studying immune responses.
2. stem cell research:
In the stem cell field, the FACS platform can be used to sort and analyze stem cell subpopulations, providing support for stem cell therapy and regenerative medicine research.
3. cancer research:
FACS platform has a wide range of applications in cancer research, and can be used to detect tumor cell subpopulations, analyze cancer cell apoptosis, etc., providing key information for cancer research.
Conclusion
The FACS platform of InnoModels Biotechnology has opened new doors of cell analysis for researchers with its excellent technical features. With the continuous upgrading of the technology and the expansion of application areas, the FACS platform is expected to play an even more important role in the fields of cell biology, medical research and drug development. InnoModels Biotechnology is committed to providing researchers with advanced technological tools to promote the continuous progress of life sciences.
InnoModels Biotechnology (Beijing) Co., Ltd.
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TEL: +86 15711355061
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E-mail: xuyl@imodels.tech
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Address: Building 14, No. 79 West Shuangying Road, Changping District, Beijing
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