I cut one crudely and affixed to the housing with double-sided Scotch tape. If you were feeling fancy you could pretty easily design and 3D print a fit-on slot holder for the head to easily slide sheets in and out. Super cool pick up.
However I wanted to avoid unnecessarily exciting my samples and discovered Rosco filters. Super cheap for a massive sheet (~$10) and can cut-to-size. Available in a huge variety of colors and they even have spectra! Apparently these are commonly used for stage lighting applications in theaters.
2/3
Sometimes I want to add top off buffer or inspect things in the dark so I got this very cool, super bright light from LED2Work that has a flexarm, fully articulated head that locks in place, and has the strongest magnetic base I have ever seen.
1/3
cc @retof.bsky.social
I sometimes wonder if we grieve our unlived lives in parallel universes.
Went to the sushi buffet to celebrate hard work paying off over the last few months and got this cookie. It is completely true: My journey into science hasn’t ever been easy, but pursuing worthy challenges has never failed to pay off in multiples.
I always think of this quote for some reason 😅 like "we're not catching ALL THE PHOTONS" smh 😂
😂😂😂
That’s why the pilots have so much glass to look through 😂
Makes sense! Kind of weird timing to fall right on the holiday 😅 it was interesting to catch some of the local festivities but I can imagine trying to balance travel and childcare is rough.
Are You still around or did you head back already to beat the ice?
😂😂😂
At #PhotonicsWest #BIOS today (Monday)? I am giving a talk at 2:00 pm in Moscone South 307 on our work developing a rapid and robust technique for Adaptive Optics in Light-Sheet microscopy
Text reads "Congratulations to the 2025 Leading Edge Fellows" followed by the Leading Edge logo and www.leadingedgesymposium.org. Below are the headshots and names of the 40 new Leading Edge Fellows. They are Cel Welch Lianna Wat Maria Toro Moreno Sarah Talley Xulu Sun Ines Sturmlechner Virginia Savy Amelie Raz Kali Pruss Caterina Profaci Sarah Pierce Melissa Pamula Kehinde Odufowora Patricia Nano Ariana Musa de Aquino Nour El Houda Mimouni Kathleen Martin Brea Manuel Mable Lam Miri Krupkin Elaine Kouame Megan Kirchgessner Sumin Kim Shubhangini Kataruka Geraldine Jowett Andrea Jones Leanne Iannucci Emily Heckman Allison Girasole Florencia Fernandez Chiappe Tonie Farris Hannah Elam Erin Doherty Xiaoyun Ding Maria Bustillo Julia Brunner Debadrita Bhattacharya Lorena Benedetti Ashley Anderson Krisha Aghi
We are thrilled to announce the 2025 Leading Edge Fellows! 40 outstanding postdoctoral fellows doing pioneering research in a wide range of biological and biomedical disciplines.
Learn more about these exceptional scientists:
www.leadingedgesymposium.org/fellows
If you are attending the Optica Biophotonics conference in San Diego, be sure to check out Magdalena's talk on this work!
DeepPD obtains better de-aberrated images without requiring optical correction, and more completely estimates wavefronts by accounting for nonlinearities in our deformable mirror and other assumptions not captured in our original analytic approach.
In our new preprint, we combine a deep learning framework with our phase-diverse image acquisition called "DeepPD".
We demonstrated that by acquiring few extra images with added optical aberrations ("phase diversities") wavefront sensing can be achieved using an analytic optimization scheme.
Last year we published a simple experimental method for image-based wavefront sensing in fluorescence microscopy using phase diversity.
opg.optica.org/optica/fullt...
Excited to announce the release of a preprint I have been working in collaboration with Magdalena C. Schneider on to improve phase diversity-based wavefront sensing using deep learning.
arxiv.org/abs/2504.14157
Toxic positivity, be damned, Herman Hesse reminds us that true optimism is not the denial of suffering. It is the will to perceive beauty amidst the suffering, and to conceive compassion despite suffering: “because the world is so full of death and horror I try again and again to console my heart and pick the flowers that grow in the midst of hell“
From @yepicurus on instagram
Freewheeling discussion about the current moment with two great editors and three brilliant people. @chronicle.com @amnauncensored.bsky.social Enjoyed this. www.chronicle.com/article/ther...
Something that has become really clear to me is that we really need more movies, TV series, and documentaries which romanticize and glorify scientific struggle. We have so many medical and cop dramas, we need a "Law and Order" or "ER" for science so people finally understand and appreciate our work.
Too bad it will involve actual legwork to distinguish against the broader uses of these terms. My research project is literally called "Phase Diversity" - it originated in the 1980's in Astronomy - I study physics, not DEI. Wait until they find out how much cis/trans gets used in Chemistry!
This is utterly insane. I literally study a method called "Phase Diversity" that originates in Astronomy and deals with physics - not DEI. I am lucky that I will not be affected in the short term but this is absolutely horrifying censorship and it is only the start.
All of these structures and checks and balances are theoretical: they have never been stress tested in this manner before. Laws are meaningless if not enforced.
The question is: how much will -unelected- Elon Musk be allowed to dismantle the government in this clearly unconstitutional manner.
This has been the darkest week for science in recent memory. Horrifying to imagine what else is to come.
Last night, I went to Brazilian Jiu-Jitsu for the first time in almost 8 months and today, everything is going right ...Coincidence? 🤔😂
Me in 2008, a community college student watching House: “I don’t know what to do with my life, I would be a great doctor”.
Me in 2025, a postdoc watching The Pitt: I am so glad I did not become that type of Doctor I am not cut out for any of this nonsense .
I like to think there are others out there on their own improbable journeys. These are the students who perhaps stand to gain the most if successful, and we do them a great disservice when we give up on them before giving them a chance because they deviate from an increasingly-precise template
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The dilemma is not just who fails when we select candidates purely on numbers, but who are we excluding that would have succeeded? What do these metrics inadequately model about what makes someone a successful research scientist?
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