Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/3091039/figures/3091039.fig.007a.svgz" name="3091039.fig.007a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Good quality colonies</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/3091039/figures/3091039.fig.007b.svgz" name="3091039.fig.007b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Semigood quality colonies</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2016/3091039/figures/3091039.fig.007c.svgz" name="3091039.fig.007c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Bad quality colonies</td></tr></table>

<div>Example images of good, semigood, and bad quality iPSC colonies. The images have been scaled to have width and height of 1.5 in.</div>

Computational and Mathematical Methods in Medicine

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Figure 7

Figure 7: Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images 