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19 valid samples · Newest publication first
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4 days

Determination of Cell Viability—Acridine Orange/Propidium Iodide ( AO / PI ) Staining Method

Authors
Lei Wang; Bo‐qiang Fu; Ai‐jin Ma; Shuai‐shuai Niu; Yong Zhang; Ran‐ran Xu; Shi‐hui Ma; Jia‐ni Cao; Hong‐ling Zhao; Wan‐ying Wang; Hai‐ying Wang; Juan Ma; Jun Wei; Jun‐ying Yu; Qi‐yuan Li; Li‐jun Zhu; Tao Na; Jia‐le Cai; Xiao Fan; Yao‐jin Peng; Xiao‐you Yu; Qu‐bo Chen; Pei‐jun Zhai; Shi‐jun Hu; Andy‐Peng Xiang; Guo‐qiang Hua; Jia‐xi Zhou; Tong‐biao Zhao; Bao‐yang Hu; Jie HaoShow moreShow less
Affiliations
1. National Stem Cell Resource Center, Institute of Zoology Chinese Academy of Sciences Beijing China; 2. Institute for Stem Cell and Regeneration Chinese Academy of Sciences Beijing China; 3. Standard Committee, Chinese Society for Cell Biology Shanghai China; 4. Beijing Institute for Stem Cell and Regenerative Medicine Beijing China; 5. National Institute of Metrology Beijing China; 6. Beijing Technology and Business University Beijing China; 7. Shenzhen HHLIFE co., Ltd. Shenzhen China; 8. Zephyrm Biotechnologies co., Ltd. Beijing China; 9. Institute of Hematology & Blood Diseases Hospital Chinese Academy of Medical Sciences & Peking Union Medical College Tianjin China; 10. Nuwacell Biotechnology co., Ltd Hefei City Anhui Province China; 11. Shenzhen Medical Academy of Research and Translation Shenzhen China; 12. Institute of Science and Technology Information of China Beijing China; 13. National Institutes for Food and Drug Control Beijing China; 14. University of Chinese Academy of Sciences Beijing China; 15. The Second Clinical College of Guangzhou University of Chinese Medicine Guangzhou China; 16. China National Accreditation Service for Conformity Assessment (CNAS), Beijing China; 17. Soochow University Jiangsu Province China; 18. Center for Stem Cell Biology and Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat‐Sen University Guangzhou China; 19. Fudan University Shanghai, Cancer Center Shanghai ChinaShow moreShow less
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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

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