Skip To Main Content
Hyeonggeon Kim on Muck Rack

Hyeonggeon Kim

As seen in: Nature, BioRxiv
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Hyeonggeon

Contact Hyeonggeon, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Adaptive optical correction for in vivo two-photon fluorescence microscopy with neural fields

|
By Iksung Kang, Hyeonggeon Kim, Ryan G. Natan, Qinrong Zhang, Stella X. Yu, Na Ji
| Nature Verified
Abstract Adaptive optics restore ideal imaging performance in complex samples by measuring and correcting optical aberrations but often require custom-built microscopes with carefully aligned wavefront sensing/shaping devices and can be susceptible to sample motion. Here we describe NeAT, a computational framework using neural fields for adaptive optics two-photon fluorescence microscopy.
Open in Who Shared Issue with article?

Adaptive optical correction for in vivo two-photon fluorescence microscopy with neural fields

|
By Iksung Kang, Ryan G. Natan, Qinrong Zhang, Hyeonggeon Kim
| BioRxiv
Abstract Adaptive optics (AO) restore ideal imaging performance in complex samples by measuring and correcting optical aberrations, but often require custom-built microscopes with carefully aligned wavefront sensing/shaping devices and can be susceptible to sample motion. Here we describe NeAT, a computational framework using neural fields for AO two-photon fluorescence microscopy.
Open in Who Shared Issue with article?
See all 2 articles