Arcadia Science

Research and development company leveraging the biology of diverse organisms. Read about our science:

[Arcadia Science @ArcadiaScience]

Whether you’re performing phylogenomic inferences, identifying structural differences and similarities between proteins, or doing high-throughput time-lapse imaging, we have some free, easily accessible tools and resources that may be helpful for you. 🧵

[Arcadia Science @ArcadiaScience]

Come help scale this and other raman tools!

Product Lead role now open: https://t.co/oJRvvT4LwH

[Ilya Kolb @i__kolb]

AI agent loop controlling our automated Raman microscope - from acquisition to stage movement to online analysis. It does a quick scan, then re-acquires spots with the best signal, and finally finds the most distinct spot and does an in-depth acquisition

@ArcadiaScience

[Prachee Avasthi @PracheeAC]

🚨New job alert!

I’m looking for a strong scientist and operator that wants to expand their efforts to work closely with me on … well everything!

This spans my work at @ArcadiaScience as well as @AsteraInstitute. If you’re excited by the mission of our orgs, thrive in a fast-paced environment, and have a passion for science/open science/metascience, apply now!

https://t.co/bn8ZRHZoqr

[seemay chou @seemaychou]

Job alert! Biology needs faster, cheaper, non-destructive ways to measure phenotypes across molecular & cellular scales. @ArcadiaScience we're psyched about what's possible w raman spectroscopy. New role to scale raman hardware/analysis as part of our new tools foundry👇

[Prachee Avasthi @PracheeAC]

🚨new job alert!

If you’ve been following our efforts @ArcadiaScience, you know we’re very into high-dimensional phenotyping and think Raman spectroscopy is under-applied to biology. If you want to help us productionize our prototypes so others can benefit, join us!

https://t.co/N3e8AQc7P1

[Cameron Dale MacQuarrie @cdmacquarrie]

New pub from @ArcadiaScience 🧵 We found that C. smithii — a freshwater green alga — undergoes wild morphological transformations when grown on Marine Broth. Huge cells with mysterious wisp-like appendages. Here's what we saw. https://t.co/UKwicUioum [1/9]

[seemay chou @seemaychou]

Just in time for Darwin’s bday! Interactive organismal tractability atlas from @ArcadiaScience for you to peruse as you consider species in the lab
https://t.co/vnZxp3Kqzj

[Prachee Avasthi @PracheeAC]

Big day! We just dropped our 100th🎉 publication @ArcadiaScience!

Check out our latest👇

Our first coherent Raman spectroscopy dataset in live fission yeast at subcellular resolution
https://t.co/VJTppELgj2

An evolution-informed bioprospecting framework to facilitate mining the tree of life for bio-utility
https://t.co/48qYQW8OTd

A Bayesian strategy for collecting biological data to maximize information gain
https://t.co/nl1G5qO4Jd

[Evan Kiefl @evankiefl]

1/6 We published a deep dive into what MSA Pairformer learns about evolutionary relationships. @yoakiyama et al. achieved impressive contact and variant fitness prediction with a fraction of ESM2's parameters; we wanted to understand the mechanism better.

https://t.co/FQKRltHxxJ

[Arcadia Science @ArcadiaScience]

We also released a free organism illustration library sharing high quality CC0 illustrations of 70+ organisms & viruses (including chlamy and sea squirts): https://t.co/c9CHpJydem

[Megan Hochstrasser @thecrispress]

Free, professional illustrations of research organisms! 🎨🐁🪼🪱

We compiled original vector/raster graphics of 70+ organisms & viruses into a CC0 library. All by @ArcadiaScience’s Audrey Bell

Check it out & show us how you use them!
https://t.co/2k9erWsyUl #scicomm #sciart

[Arcadia Science @ArcadiaScience]

’Tis the season to be green 🌲 Our latest organism spotlight is Chlamydomonas reinhardtii — a tiny algae with a long history of punching above its weight in scientific discovery. Happy holidays!

https://t.co/t35Z9cCbOa

[Arcadia Science @ArcadiaScience]

This spotlight is the second short video in our series highlighting organismal models. The first was on sea squirts:
https://t.co/2a8Q3t7dht

[seemay chou @seemaychou]

Most importantly, first in our new series of organismal spotlight shorts (open source illustrations coming soon!). Sea squirts! https://t.co/ozfwFeb05f

[George Sandler @GeorgeSandler_]

Check out our latest work at @ArcadiaScience on decomposing a neural network trained on Genotype-Phenotype data into interpretable and familiar quantitative genetics parameters. https://t.co/IU7CJxiRgs

[James Golden @James_R_Golden]

How to transform UMAP from a black box into a glass box: by using a special type of deep network, we can now compute exact linear equivalents that reveal which features drive each point's position in the embedding.

@ArcadiaScience [1/8]

[Megan Hochstrasser @thecrispress]

Free, professional illustrations of research organisms! 🎨🐁🪼🪱

We compiled original vector/raster graphics of 70+ organisms & viruses into a CC0 library. All by @ArcadiaScience’s Audrey Bell

Check it out & show us how you use them!
https://t.co/2k9erWsyUl #scicomm #sciart

[Ilya Kolb @i__kolb]

Introducing AutoOpenRaman, an automated, inexpensive microscope for Raman spectroscopy! 🧵 We recapitulated many features of expensive commercial systems using economical hardware and open-source software. @ArcadiaScience

https://t.co/5w2y0VULBP [1/8]

[Prachee Avasthi @PracheeAC]

Right now is the best chance the scientific community has ever had to end the artificial scarcity of academic journals.

Check out my new op-ed urging @NIH @NIHDirector_Jay to disallow taxpayer dollars towards journal publication fees — something both publishers and scientists have played a role in perpetuating.

The last day for public comment on this topic is Monday, Sept 15. It’s time to unleash science.

Links in 🧵

[seemay chou @seemaychou]

we recently did our biggest icebox so far @ArcadiaScience -- we made the call to wind down our first/longest running start-up Trove. read about why & what we learned (and technical resources we released!). Quick 🧵👇 https://t.co/6jxw1mLWgK

[seemay chou @seemaychou]

Are you an ML researcher/engineer hoping to learn frontier biology? We’re looking for folks @ArcadiaScience to help build quantitative bio models w us. Our quest: find the MVP bio data required if it’s structured by evolution. Come for a stint to dig in! https://t.co/yz3j5kYkn6

[Ryan York @ryanayork]

Phenotypes often arise from linear + nonlinear genetic relationships. Neural networks should be great at modeling this. Results are mixed. Why? https://t.co/b3M8kF6BUo [1/11]