Arcadia Science is heading to #cellbio2023.

On this page, you can see what we'll be up to, when/where you can find us, and check out all the science we're sharing, including poster PDFs and links to full pubs.

We'll have a booth that you can visit at any point during the conference — find us at booth #434 in the “start-up row.”

View all our pubs →

Featured events

Poster
Sun Dec 3, 12.15–3.15pm
#B683
Poster: A computational pipeline to analyze high-throughput imaging of nematode embryogenesis
DM
View the poster
Read the pub
Poster
Mon Dec 4, 12.15–3.15pm
#B58
Poster: Live imaging of unicellular algae for high-content phenotyping
TE
View the poster
Read the pub
Poster
Tue Dec 5, 12.15–3.15pm
#B36
Poster: ProteinCartography: Mapping the functional landscape of proteins across biology
BB
View the poster
Read the pub
Poster
Tue Dec 5, 12.15–3.15pm
#B723
Poster: High-throughput analysis of phenotypic variation between interfertile Chlamydomonas species
CD
View the poster
Read the pub
Poster
Tue Dec 5, 12.15–3.15pm
#B18
Poster: Enabling integrative cell biology with the Arcadia Chlamydomonas Diversity Collection
RY
View the poster
Read the pub
Poster
Tue Dec 5, 2.15–3.15pm
Room: 157B
Panel: Research Careers at Private Institutions, Government, and Non-Profits
DM
View event details

Featured pubs

Resource
Dec 01, 2023
Automated classification of time-course imaging data applied to nematode embryogenesis
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.
Read the pub
Resource
Sep 28, 2023
ProteinCartography: Comparing proteins with structure-based maps for interactive exploration
The ProteinCartography pipeline identifies proteins related to a query protein using sequence- and structure-based searches, compares all protein structures, and creates a navigable map that can be used to look at protein relationships and make hypotheses about function.
Read the pub
Result
Sep 22, 2023
Harnessing genotype-phenotype nonlinearity to accelerate biological prediction
It is commonly assumed that phenotypes arise from the cumulative effects of many independent genes. However, we show that by accounting for dependent and nonlinear biological relationships, we can generate models that predict phenotypes with great accuracy.
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Result
June 23, 2023
Phenotypic differences between interfertile Chlamydomonas species
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.
Read the pub
Resource
May 03, 2023
Gotta catch ‘em all: Agar microchambers for high-throughput single-cell live imaging
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.
Read the pub

Learn about ProteinCartography

The ProteinCartography↗ pipeline searches sequence and structure databases for matches to input proteins. It compares the structures of each hit and builds maps of protein space for the purposes of discovery and exploration.

We’ll be running a demo of the pipeline during the exhibit fair at our booth #434. So if you’d like a specific protein analyzed, come talk to us!

If you’d like to see an example of how ProteinCartography can be used to analyze a family of proteins, come to poster #B36 Tuesday, December 5 from 12:15-3:15.

For ASCB 2023, we’ve created maps for several frequently studied proteins. Click the link below to explore the results.

If you explore your protein map, share your results using #MapYourProteins and/or #PCanalysis on your favorite social media platform.

Navigate to the protein maps →

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