549. Fine Tuning of Transduction Efficiency of rAAV Vectors via Modulation of Capsid Composition

Kondratov, Oleksandr; Marsic, Damien; Mietzsch, Mario; Heilbronn, Regine; Zolotukhin, Sergei

doi:10.1016/s1525-0016(16)33357-3

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“…Therefore, it is regarded as one of the most promising gene therapy carriers (Flotte, 2004;Mingozzi & High, 2011). However, the transduction efficiency of rAAV is relatively limited; how to improve the transduction efficiency of rAAV has been one of the hot research fields of gene therapy (Kondratov, Marsic, Mietzsch, Heilbronn, & Zolotukhin, 2016;Wang et al, 2014b;Wang et al, 2016). In our research, rAAVs of different serotypes were used to infect Hela cells.…”

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confidence: 99%

Automatic cell counting for phase‐contrast microscopic images based on a combination of Otsu and watershed segmentation method

Lin

Diao

et al. 2021

Microscopy Res & Technique

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Cell counting plays a vital role in biomedical researches. However, manual cell counting is time-consuming, laborious, and low efficiency and has a high counting error rate problem. An automatic counting approach for Hela cells of phase-contrast microscopic images is proposed based on the combination of Otsu and watershed segmentation methods to solve the mentioned issues. Firstly, image preprocessing is performed. Secondly, the Otsu method was used to obtain an automatic global optimal threshold for segmentation to achieve batch counting of images. Thirdly, the marker watershed was performed to separate adherent cells and to avoid oversegmentation simultaneously. Finally, cells in phase-contrast microscopic images were counted by detecting the numbers of connected domains in the binary image.

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