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Cytometry. Part B, Clinical Cytometry|March 26, 2025
28-color single tube for flow cytometric assessment of myeloid maturation, myeloid neoplasia, and acute myeloid leukemia minimal/measurable residual diseaseQi Gao, Alexander Chan, Jingping Zhang, et al.
Cytometry. Part B, Clinical Cytometry|March 11, 2025
Hierarchical clustering of clinical and flow cytometry parameters is associated with deterioration in patients with community-acquired pneumonia in the emergency department: A preliminary studyThomas Lafon, Robin Jeannet, Thomas Daix, et al.
Cytometry. Part B, Clinical Cytometry|November 27, 2024
Prospective feasibility of a minimal BH3 profiling assay in acute myeloid leukemiaKim Pacchiardi, Victoire de Marcellus, Tony Huynh, et al.
Cytometry. Part B, Clinical Cytometry|December 25, 2024
Differentiating reactive and neoplastic gamma-delta (γδ) T-cell expansions in the peripheral blood and bone marrowHamza Tariq, Zubair Ilyas, Lucy Fu, et al.
Cytometry. Part B, Clinical Cytometry|November 25, 2024
SingletSeeker: an unsupervised clustering approach for automated singlet discrimination in cytometryMark Colasurdo, Laura Ferrer-Font, Aaron Middlebrook, et al.
Cytometry. Part B, Clinical Cytometry|November 14, 2024
Improved identification of clinically relevant Acute Leukemia subtypes using standardized EuroFlow panels versus non-standardized approachRafik Terra, Vincent Éthier, Lambert Busque, et al.
Cytometry. Part B, Clinical Cytometry|October 2, 2024
Glucose-6-phosphate dehydrogenase deficiency detection using fluorocytometric assay: Evaluation after 1 year of clinical implementationM Souissi, E Bera, C Boutet, et al.
Cytometry. Part B, Clinical Cytometry|October 17, 2024
Automated analysis of flow cytometry data with minimal training files: Research evaluation of an elastic image registration algorithm for TBNK, stem cell enumeration, and lymphoid screening tube assaysAllison Irvine, Suhail Tahir, Vishnu Tripathi, et al.
Cytometry. Part B, Clinical Cytometry|February 27, 2025
Clinical validation of a real-time machine learning-based system for the detection of acute myeloid leukemia by flow cytometryLauren M Zuromski, Jacob Durtschi, Aimal Aziz, et al.
Cytometry. Part B, Clinical Cytometry|March 31, 2006
Comparison of disruption procedures for enumeration of activated sludge floc bacteria by flow cytometryTania Falcioni, Anita Manti, Paola Boi, et al.
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