ic_font_li ic_font_tw ic_font_fb
  • JOB OPPORTUNITIES
  • About us
  • News
  • Events
image/svg+xml logo_abbelight
  • Our products
    • Sample Preparation
      • Safe reagents
      • Safe samples
    • Imaging instruments
      • Safe 180
      • Safe 360
      • SAFe RedSTORM
    • Software solution
      • Safe software – NEO
  • Gallery
  • Our Applications
    • E. coli RNA Polymerase by PALM microscopy
    • DNA replication sites
    • Neuroscience in SMLM
    • Microbes in SMLM
    • Focal adhesions at the nanoscale
    • Actin cortex at the nanoscale
  • Technology
    • dSTORM
    • PAINT
    • PALM
    • Single Particle Tracking
    • ASTER
    • Spectral demixing
  • Resources
    • FAQ
    • Webinars
    • Scientific papers
Contact us
2021/04/26

Super-resolution with and without deep learning

Christophe Zimmer
Institut Pasteur, Paris
  • ic_arrow_nav_l_hover Previous
  • Back to list
  • Next ic_arrow_nav_r_hover

ABSTRACT:

Single molecule localization microscopy (SMLM) has matured into a powerful and widely used super-resolution imaging method. This talk will highlight recent and ongoing developments of our lab to address three challenges of SMLM by computation.

One challenge is 3D super-resolution imaging of entire cells. We present ZOLA-3D, a combined optical and computational method that enables versatile 3D super-resolution imaging over up to roughly 5 micrometer depth and was recently adapted to dual objective microscopy.

A second challenge is to visualize cells at high resolution and with high throughput. SMLM delivers exquisite spatial resolution, but at the price of very low throughput. We present ANNA-PALM, a technique based on deep learning that after adequate training can reconstruct high resolution views from strongly under-sampled SMLM data, enabling considerable speed-ups without compromising spatial resolution.

A third challenge is to use and reuse SMLM data obtained by the community. We will highlight shareloc, an online platform designed to facilitate the sharing and reanalysis of SMLM data and illustrate its benefit by increased robustness of ANNA-PALM.

Finally, time permitting, we will also present Imjoy, a computational platform designed to facilitate the uptake of deep learning methods in the community.

Our last Webinars

2022/06/3

Correlative imaging using ions and single molecules - Prof Aleksandra Radenovic

Prof. Aleksandra Radenovic
EPFL
ic_font_btn_plus Learn more
2021/07/19

Decifering organelles and synaptic molecular assemblies using quantitative super-resolution 3D microscopy

Lydia Danglot
IPNP
ic_font_btn_plus Learn more
2021/07/26

Quantitative single molecule localization microscopy for precision medicine

Tijana Talisman
City of Hope, CA, USA
ic_font_btn_plus Learn more
logo_big_abbelight
Some questions?
Contact us
Join the community
image/svg+xml image/svg+xml image/svg+xml
Latest news
©Abbelight 2022
  • Legals
  • Privacy Policy
  • Credits