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TE
+3
Published: May 03, 2023
Constraining motile microorganisms for live imaging often requires costly microfluidics or optical traps to keep them in view. We used patterned stamps and agar to make versatile, inexpensive “microchambers” and offer a way to predict the right chamber size for a given organism.
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KC
SC
AH
+5
Published: Dec 02, 2023
Machine learning is a powerful tool for classifying images in a time series, such as the developmental stages of embryos. We built a classifier using only bright-field microscopy images to infer nematode embryonic stages at high throughput.
Connections
Supplements (2): Code v1.0 - GitHub • Data- Time-course images of nematode embryos - Zenodo
BB
TE
+7
Published: Jun 23, 2023
We’re crossing C. reinhardtii and C. smithii algae for high-throughput genotype-phenotype mapping. In preparation, we’re comparing the parents to uncover unique species-specific phenotypes.
