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Cited by CrossRef (14)

  1. Sylvain Henry, Delphine Gérard, Sylvain Salignac, Julien Perrin. Optimizing the management of analytical interferences affecting red blood cells on XN‐10 (Sysmex®). Int J Lab Hematology 2022;44:1068
    https://doi.org/10.1111/ijlh.13951
  2. Teresa Guerra Barroso, Carla Queirós, Filipe Monteiro-Silva, Filipe Santos, António Hugo Gregório, Rui Costa Martins. Reagentless Vis-NIR Spectroscopy Point-of-Care for Feline Total White Blood Cell Counts. Biosensors 2024;14:53
    https://doi.org/10.3390/bios14010053
  3. Min-Sun Kim, Chan-Jeoung Park, Seung Namgoong, Seung-Il Kim, Young-Uk Cho, Seongsoo Jang. Effective and Practical Complete Blood Count Delta Check Method and Criteria for the Quality Control of Automated Hematology Analyzers. Ann Lab Med 2023;43:418
    https://doi.org/10.3343/alm.2023.43.5.418
  4. Eric Loo, Nathalie J. Rodrigues Simoes, Leslie J. Browne, Andres E. Mindiola Romero, Prabhjot Kaur. Hematology lab waste reduction through implementation of peripheral smear review criteria. Int J Lab Hematology 2023;45:813
    https://doi.org/10.1111/ijlh.14103
  5. Eakachai Prompetchara, Chalisa Parnsamut, Angkana Chirapanuruk, Chutitorn Ketloy. Performance evaluation of a novel platelet count parameter, hybrid platelet count, on the BC-780 automated hematology analyzer. 2024;62:690
    https://doi.org/10.1515/cclm-2023-1000
  6. Soo Eung Park, Heyjin Kim, Jin Kyung Lee, Young Jun Hong, Ae-Chin Oh. Clinical Utility of Cellular Hemoglobin as a Compatible Marker to the Saline Replacement Method for Hemoglobin Measurement in Lipemic Samples. Lab Med Online 2024;14:39
    https://doi.org/10.47429/lmo.2024.14.1.39
  7. Hiroyuki Nozaka, Mihoko Kushibiki, Kosuke Kamata, Kazufumi Yamagata. Classifying Microscopic Images of Reactive Lymphocytosis Using Two-Step Tandem AI Models. Applied Sciences 2023;13:5296
    https://doi.org/10.3390/app13095296
  8. John L. Frater, Maria Yadira Hurley. Complete blood cell count parameters and seborrheic dermatitis: Preanalytical and analytical considerations. J of Cosmetic Dermatology 2022;21:7215
    https://doi.org/10.1111/jocd.15289
  9. Seon Young Kim, Hyun Kyung Kim. Obtaining Reliable CBC Results in Clinical Laboratories. Ann Lab Med 2022;42:505
    https://doi.org/10.3343/alm.2022.42.5.505
  10. Huijun Lin, Dujin Feng, Shuting Tao, Jianguo Wu, Yan Shen, Weizhong Wang. A patient with the highly suspected B cell lymphoma accompanied by the erythrocytes cold agglutination: Case report. 2023;102:e34076
    https://doi.org/10.1097/MD.0000000000034076
  11. Mariangela Costanza, Christine Coutaz, Anne Cairoli, Mathilde Gavillet. Pseudo‐macrocytosis in chronic lymphocytic leukaemia. Int J Lab Hematology 2023;45:623
    https://doi.org/10.1111/ijlh.14091
  12. Yang Fei, Chi Zhang, Xifei He. The mismatch between Sysmex XN‐20 automated hematology analyzers and the visual examination of blood smears—Misclassification of hypogranular eosinophils and platelets. Int J Lab Hematology 2023
    https://doi.org/10.1111/ijlh.14221
  13. William E. Winter, David L. Pittman, Neil S. Harris. Hematology and coagulation preanalytics for clinical chemists: Factors intrinsic to the sample and extrinsic to the patient. Clinical Biochemistry 2023;115:3
    https://doi.org/10.1016/j.clinbiochem.2022.11.012
  14. Hanah Kim, Mina Hur, Jong-Ho Yi, Gun-Hyuk Lee, Seungho Lee, Hee-Won Moon, Yeo-Min Yun. Detection of blasts using flags and cell population data rules on Beckman Coulter DxH 900 hematology analyzer in patients with hematologic diseases. 2023
    https://doi.org/10.1515/cclm-2023-0932