Cell biologist turned computational biologist, NIGMS K99 awardee turned assistant professor at NCSU. Image analysis for All. All views are my own.
Cary, NC
Joined June 2020
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Our group's first paper: We track cell cycle and cell growth through entire life cycles in a single-cell model organism using a combination of real and AI-generated images.
biorxiv.org/content/10.1101/…
Have a microscope? Need to track cells? Our new preprint shows how generative AI frame interpolation help microscopists track fluorescently labeled nuclei, bacteria, fungi, cancer cells, immune cells, and organoids by using GANs and Diffusion processes.
biorxiv.org/content/10.1101/…
Mouse pancreatic organoids, images created by three generative models. In collaboration with the biosci.snu.ac.kr/hyunlee Lab.
Orlando Arguello-Miranda retweeted
A paper in @naturemethods presents Molecular Pixelation, which is an optics-free method that uses DNA-tagged antibodies to enable identification of the relative location of proteins on single cells. go.nature.com/3QDufgp
Orlando Arguello-Miranda retweeted
From 2D to 3D segmentation:
theory and applications of u-Segment3D by Felix Zhou et al.
biorxiv.org/content/10.1101/…
Orlando Arguello-Miranda retweeted
Deep learning-driven imaging of cell division and cell growth across an entire eukaryotic life cycle
Shreya Ramakanth, Taylor Kennedy, Berk Yalcinkaya, Sandhya Neupane, Nika Tadic, Nicolas E Buchler and Orlando Arguello-Miranda
biorxiv.org/content/early/20…
Orlando Arguello-Miranda retweeted
Looking forward to reading this one. Congratulations!
Our group's first paper: We track cell cycle and cell growth through entire life cycles in a single-cell model organism using a combination of real and AI-generated images.
biorxiv.org/content/10.1101/…
Orlando Arguello-Miranda retweeted
Our group's first paper: We track cell cycle and cell growth through entire life cycles in a single-cell model organism using a combination of real and AI-generated images.
biorxiv.org/content/10.1101/…
So proud of all my lab members: Deep learning-driven imaging of cell division and cell growth across an entire eukaryotic life cycle biorxiv.org/content/10.1101/…
Orlando Arguello-Miranda retweeted
📢 After 10 fabulous years in @JanSkotheim lab at Stanford, I am excited to move back to Cambridge and start my own lab at @CamBiochem in early 2024. The lab will focus on studying cell size regulation, cell cycle and fate decisions. Apply for PhD/Postdoc: zatulovskiylab.org/
Orlando Arguello-Miranda retweeted
Check out our new pre-print! We find that cell size determines proteome composition in a way that’s highly conserved across eukaryotes. Lots of interesting implications for development, cancer, and (as we show) replicative aging. Brief thread below...(1/8)
biorxiv.org/content/10.1101/…