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Platelet, Count, Spectrophotometry, Leukocytes, Red blood cells, Quality assurance

Fig. 6. Scatter plots representing possible correlations between platelet (PLT) and WBC counts and between platelet and RBC counts in P-PRP and L-PRP preparations. Note: strong positive correlations were observed between platelets and RBC in both PRP types. N = 32 and 50 for P-PRP and L-PRP, respectively : Spectrophotometric determination of platelet count

author: Yutaka Kitamura, Masashi Suzuki, Tsuneyuki Tsukioka, Kazushige Isobe, Tetsuhiro Tsujino, Taisuke Watanabe, Takao Watanabe, Hajim | publisher: drg. Andreas Tjandra, Sp. Perio, FISID
Fig. 6. Scatter plots representing possible correlations between platelet (PLT) and WBC counts and between platelet and RBC counts in P-PRP and L-PRP preparations. Note: strong positive correlations were observed between platelets and RBC in both PRP types. N = 32 and 50 for P-PRP and L-PRP, respectively
Fig. 6. Scatter plots representing possible correlations between platelet (PLT) and WBC counts and between platelet and RBC counts in P-PRP and L-PRP preparations. Note: strong positive correlations were observed between platelets and RBC in both PRP types. N = 32 and 50 for P-PRP and L-PRP, respectively

Fig. 6. Scatter plots representing possible correlations between platelet (PLT) and WBC counts and between platelet and RBC counts in P-PRP and L-PRP preparations. Note: strong positive correlations were observed between platelets and RBC in both PRP types. N = 32 and 50 for P-PRP and L-PRP, respectively

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