Journal article

Streamlining volumetric multi-channel image cytometry using hue-saturation-brightness-based surface creation

Yingrou Tan, Jackson Liang Yao Li, Chi Ching Goh, Bernett Teck Kwong Lee, Immanuel Weng Han Kwok, Wei Jie Ng, Maximilien Evrard, Michael Poidinger, Hong Liang Tey, Lai Guan Ng



Image cytometry is the process of converting image data to flow cytometry-style plots, and it usually requires computer-aided surface creation to extract out statistics for cells or structures. One way of dealing with structures stained with multiple markers in three-dimensional images, is carrying out multiple rounds of channel co-localization and image masking before surface creation, which is cumbersome and laborious. We propose the application of the hue-saturation-brightness color space to streamline this process, which produces complete surfaces, and allows the user to have a global view of the data before flexibly defining cell subsets. Spectral compensation can also be performed afte..

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Awarded by National Healthcare Group

Funding Acknowledgements

The authors would like to thank Steve Chai for support on IMARIS. This work was supported by the SRG/14019 grant from the National Healthcare Group.