五、Infinicyt™软件
| 名称 |
货号 |
| InfinicytTM Basic Licence |
CYT-INFINICYT-P |
| InfinicytTM Advanced Licence |
CYT-INFINICYT-ADV1 |
| InfinicytTM Upgrade |
CYT-INFINICYT-AOM |
| EuroFlowTM Database Accesses |
CYT-INFINICYT-EFDB |
Infinicyt™:流式细胞仪数据分析软件
EuroFlow™最初的目标之一是开发新的流式细胞术软件工具,用于识别复杂的免疫表型模式和流式细胞术数据的多元分析。
Infinicyt™软件包括创新的分析、集成和解释工具,使流式细胞术数据分析:多元、标准、高效、灵敏和可重复性
备注:
*每次购买或升级Infinicyt™2.0高级许可,以及购买大量、MM MRD和PIDOT工具包,都可以免费访问25个EuroFlow™数据库。
六、文献引用
1. van Dongen, J. J. M. et al. EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes. Leukemia 26, 1908–1975 (2012).
2. Nguyen, V et al. Customised single tube 14 parameter, 8 colour Lymphoma Screening Panel. In 38th Annual Scientific Meeting Australasian Cytometry Society. Oct 11-14 (2015).
3. Lhermitte, L. et al. Automated database-guided expert-supervised orientation for immunophenotypic diagnosis and classification of acute leukemia. Leukemia 32, 874–881 (2018).
4. van Dongen, J. et al. Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies. Blood 125 (26), 3996-4009 (2015).
5. Theunissen, P. et al. Standardized flow cytometry for highly sensitive MRD measurements in B-cell acute lymphoblastic leukemia. Blood 129, 347–357 (2017).
6. Pérez-Andrés, M. et al. Clonal plasma cells from monoclonal gammopathy of undetermined significance, multiple myeloma and plasma cell leukemia show different expression profiles of molecules involved in the interaction with the immunological bone marrow microenvironment. Leukemia 19 (3):449-55 (2005).
7. Flores-Montero, J. et al. Next Generation Flow for highly sensitive and standardized detection of minimal residual disease in multiple myeloma. Leukemia 31, 2094–2103 (2017)
8. Paiva B. et al. New criteria for response assessment: role of minimal residual disease in multiple myeloma. Blood 125, 3059-3068 (2015).
9. Sanoja-Flores, L. et al. Next generation flow for minimally-invasive blood characterization of MGUS and multiple myeloma at diagnosis based on circulating tumor plasma cells (CTPC). Blood Cancer Journal 8 (117) (2018).
10. McEllistrim, C. et al. New developments in the treatment of multiple myeloma – clinical utility of daratumumab. Biologics 11, 31–43. (2017).
11. Kumar, S. et al. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma. The Lancet Oncology 17, e328–e346 (2016).
12. Paiva, B. et al. Minimal residual disease monitoring and immune profiling in multiple myeloma in elderly patients. Blood 127, 3165-3174 (2016).
13. Sanoja-Flores, L. et al. Next generation flow for minimally-invasive blood characterization of MGUS and multiple myeloma at diagnosis based on circulating tumor plasma cells (CTPC). Blood Cancer Journal 8 (117) (2018).
14. Blanco, E. et al. Age-associated distribution of normal B-cell and plasma cell subsets in peripheral blood. The Journal of Allergy and Clinical Immunology 141 (6):2208–2219.e16 (2018)
15. Guideline on the use of minimal residual disease as a clinical endpoint in multiple myeloma studies. Draft. European Medicines Agency (26 July 2018) (https://www.ema.europa.eu/documents/scientific-guideline/draft-guideline-use-minimal-residual-disease-clinical-endpoint-multiple-myeloma-studies_en.pdf)
16. Hematologic Malignancies: Regulatory Considerations for Use of Minimal Residual Disease in Development of Drug and Biological Products for Treatment Guidance for Industry. Draft guidance. U.S. Department of Health and Human Services Food and Drug Administration (October 2018).
https://www.fda.gov/downloads/Drugs/
GuidanceComplianceRegulatoryInformation/Guidances/UCM623333.pdf
17. Pedreira, C.E. et al. Overview of clinical flow cytometry data analysis: recent advances and future challenges. Trends in Biotechnology 31, (7):415-425 (2013).
18. Novakova, M. et al. How to make usage of the standardized EuroFlow 8-color protocols possible for instruments of different manufacturers. Journal of Immunological Methods (2017). https://doi.org/10.1016/j.jim.2017.11.007
更多文献访问;http://www.euroflow.org/usr/pub/publications.php,或拨打010-51668388-8011,QQ:1793915448咨询更多信息。