Rainer Heintzmann

My research focuses on developing tools to image cellular function at high resolution. We develop techniques to measure multidimensional information in small biological objects such as cells, cellular organelles or other small structures of interest. Computer-based reconstruction methods, especially inverse-modeling based in automatic differentiation are of primary interest.

Talks:

12:40 UTC

TiledViews.jl

07/28/2021, 12:40 PM12:50 PM UTC
Purple

This class implements an 2N-dimensional tiled (copy-free) view of an AbstractArray of N dimensions. The tiling is specified by a tile_size and a tile_overlap leading to N inner coordinates (within each tile) and outer coordinates (tile index). The view is easily combined with windows and has getindex/setindex access. Applications range from deconvolution of large datasets to propagation of optical field amplitudes. Similarities and differences to TiledIteration.jl will be presented.

19:30 UTC

FourierTools.jl | Working with the Frequency Space

07/30/2021, 7:30 PM7:40 PM UTC
Purple

FourierTools.jl aims at simplifying work in Fourier/Frequency space without loosing efficiency. We provide several convenient wrappers to speed-up the common fft(fftshift(x)) pattern. This package also brings functionality to up and downsample signals through sinc interpolation. Furthermore, based on FFTs it provides shearing, rotation, convolution and (sub) pixel shift functions which can be applied to N-dimensional data efficiently.

Platinum sponsors

Julia Computing

Gold sponsors

Relational AI

Silver sponsors

Invenia LabsConningPumas AIQuEra Computing Inc.King Abdullah University of Science and TechnologyDataChef.coJeffrey Sarnoff

Media partners

Packt Publication

Fiscal Sponsor

NumFOCUS