Dylan Kalisvaart

Read about the cover art for the newly released issue of Biophysical Reports on the BPS Blog: ow.ly/6wY250QSiOR

Check out an article from our most read list: "Quantifying the minimum localization uncertainty of image scanning localization microscopy." (Dylan Kalisvaart et al.) ow.ly/8zQU50QGIuP

Bayesian posterior density estimation reveals degeneracy in three-dimensional multiple emitter localization dlvr.it/T0DVKZ

Want to try it out yourself? Check out our Github (with a notebook in Google Colab for your convenience!): github.com/qnano/rjmcmc3D

These solutions are statistically indistinguishable from the truth, raising the maximum possible localization error. With biplane imaging, this ambiguity is omitted completely. (Figure 4)

We show that for multiple emitter astigmatic imaging, a pair of ambiguous localizations appears once the emitters get closer than 2.5 times the in-focus standard deviation of the point spread function. (Figure 2)

Hi #SMLM crowd! Excited to share our new #RJMCMC tool for estimating the posterior distribution in 3D multiple-emitter localization. We reveal degeneracy in astigmatic imaging! doi.org/10.1038/s41598… @jelmer_cnossen @carlasssmith

A modulation enhanced analysis paves the way for spinning disk microscopy with patterned illumination. Our research suggests the possibility of elevating the enhancement factor to 3.5-fold using doughnut-shaped illumination patterns. (Supp. Fig. 33ade)

As a second step, we explore the idea of conducting localization directly on raw data, foregoing the ISM reconstruction steps, as in #MINFLUX and #SIMFLUX. Intriguingly, our findings indicate the potential for a remarkable 2.6-fold enhancement in localization precision. (Fig. 4)

Happy #SMLMS2023! Excited to share our new framework for modulation enhanced spinning disk confocal microscopy today, enabling up to 3.5-fold precision improvements over SMLM! #MINFLUX #SIMFLUX #ModLoc #ISM doi.org/10.1101/2023.0… @ShihTeHung1 @carlasssmith

In the end, we find that the VTI is an excellent tool to assess the performance of illumination control. It is the method of choice for optimal design and control of iterative localization microscopy! @kirtiprakash25 @FerStefaniLab @BalzarottiFran @S_LevequeFort @AndrewGYork

Lastly (Fig. 2e), we found that the optimal pattern positioning is a function of the modulation contrast, the photon budget and the expected background. In particular, the best precision is not necessarily achieved by placing intensity minima as close to the emitter as possible!

Excited to share a Bayesian tool to bound the precision of iterative localization microscopy: the Van Trees inequality. And on top: three practical lessons! #MINFLUX #SIMFLUX #ModLoc #SIMPLE #ROSE doi.org/10.1016/j.bpj.… @jelmer_cnossen @ShihTeHung1 @SjoerdStallinga @carlasssmith