Blue-print for an SLM-based SIM system, made (almost) completely from readily available components:
https://t.co/4uS3PSYPE5
By Robin Van den Eynde at @DedeckerLab
Doing multicolor (single-molecule) imaging? Tired of waiting for each color?
Want simultaneous imaging with full field of view but without the multicamera hassle?
Take a look at our 'Circulator'! 🔥💪
https://t.co/MjflFNdSGl. Very excited so please RT! (1 of 5)
#microscopy
Applications are now open for our advanced #SIM practical course! If you are an #imagingscientist working in a #corefacility or research group supporting or soon to be supporting SIM projects, then this is the course for you! More info here https://t.co/tF8i29TMJL 🔬
Together with the setup's blue-prints by @NanoSand_Alice
https://t.co/rdQBJN17EX
and the simulation framework
https://t.co/Mefes9eeBT
there's now quite a bit of detail on how to use DMDs in SIM applications.
Our third (and for now last...) paper on DMD-SIM, where we use temperature control of a diode laser to tweak its wavelength to match the DMD's blazed grating.
https://t.co/YPLfehI0O4
It is an alternative to the very nice approach of P. Brown et al. (@DougPShepherd, @ptbrown1729), where they use a voice coil mirror to slightly adjust the angle instead of shifting the laser wavelength:
https://t.co/6qou9Okc3P
@DougPShepherd @RetoPaul@christlet@NikonInst Currently not, though I wonder why... I'll talk to my collaborators next week and see if there's any reason to not share the code on github and/or Zenodo, where the data already is available.
@RetoPaul@christlet@NikonInst This compares two different network layouts (U-NET and RED-NET), and running the full reconstruction vs. only using the network for denoising and artifact removal after a "classic" reconstruction.
Still hope to find someone to bundle this into a ready-to-use Fiji plugin.
@RetoPaul@christlet@NikonInst We use the coarse(r) patterns to fill the missing cone in 2D SIM, but in a collaboration we've also tried enhancing SIM data with neural networks lately, and see quite promising results on low-SNR data.
https://t.co/MAbJqkbBJQ
So happy to see this paper out! 😊Together with @SHugelier@mueller_physics, @Sam_Duwe and @DedeckerLab we present a simple method to efficiently separate spectrally overlapping FPs! 🔬 https://t.co/pQhQOyvZIj
@HenriquesLab I'd be happy with my current position (senior postdoc/staff scientist) being permanent. But since that's not possible, I pursue both an academic path (if it works out) or joining the industry. I don't have a strong preference which one it will be, currently doing both.
@mindnumbed@beniroquai@LaineBioImaging@HenriquesLab@DrBrianPatton@RetoPaul @Hannah_SuperRes For sCMOS, manufacturer calibration is a really big effect, but for the more cost-effective machine vision type cameras we never looked at this, and I'd also not expect there to be a significant difference.
Pleasure to see paper of @Robin_VdE et co-authors as the top download in Biomedical Optics Express! 🥳
Find full paper: https://t.co/pMHVGMDwjv
and SI here:
https://t.co/K6LBDHllko
Blue-print for an SLM-based SIM system, made (almost) completely from readily available components:
https://t.co/4uS3PSYPE5
By Robin Van den Eynde at @DedeckerLab
@paravatar @DedeckerLab No, unfortunately, the links in the PDF do not seem to point to the latest SI. That should be fixed soon, until then, here's a direct link:
https://t.co/7uGpElXpCx
Among the documents there is a parts list as an Excel file.