×
Well done. You've clicked the tower. This would actually achieve something if you had logged in first. Use the key for that. The name takes you home. This is where all the applicables sit. And you can't apply any changes to my site unless you are logged in.

Our policy is best summarized as "we don't care about _you_, we care about _them_", no emails, so no forgetting your password. You have no rights. It's like you don't even exist. If you publish material, I reserve the right to remove it, or use it myself.

Don't impersonate. Don't name someone involuntarily. You can lose everything if you cross the line, and no, I won't cancel your automatic payments first, so you'll have to do it the hard way. See how serious this sounds? That's how serious you're meant to take these.

×
Register


Required. 150 characters or fewer. Letters, digits and @/./+/-/_ only.
  • Your password can’t be too similar to your other personal information.
  • Your password must contain at least 8 characters.
  • Your password can’t be a commonly used password.
  • Your password can’t be entirely numeric.
Enter the same password as before, for verification.
Login

Grow A Dic
Define A Word
Make Space
Set Task
Mark Post
Apply Votestyle
Create Votes
(From: saved spaces)
Exclude Votes
Apply Dic
Exclude Dic

Exact particle-enhanced point-spread function unlocks 3D super-resolution localization microscopy on nanoparticles. (arXiv:2306.08148v1 [physics.optics])

Click here to flash read.

Nanoparticles (NPs) have proven their applicability in biosensing, drug
delivery, and photo-thermal therapy, but their performance depends critically
on the distribution and number of functional groups on their surface. When
studying surface functionalization using super-resolution microscopy, the NP
modifies the fluorophores point-spread function (PSF). This leads to systematic
mislocalizations in conventional analyses employing Gaussian PSFs. Here, we
address this shortcoming by deriving the first-ever analytical PSF model for a
fluorophore near a spherical NP. Its calculation is four orders of magnitude
faster than numerical approaches and thus feasible for direct use in
localization algorithms. We fit this model to individual 2D images from
DNA-PAINT experiments on DNA-coated gold NPs and demonstrate extraction of the
3D positions of functional groups with <5 nm precision, revealing inhomogeneous
surface coverage. Our method is exact, fast, accessible, and poised to become
the standard in super-resolution imaging of NPs for biosensing and drug
delivery applications.

Click here to read this post out
ID: 205322; Unique Viewers: 0
Unique Voters: 0
Total Votes: 0
Votes:
Latest Change: June 17, 2023, 7:35 a.m. Changes:
/u/anonymous
Dictionaries:
Words:
Spaces:
Views: 25
CC:
No creative common's license
Comments: