For the understanding of the dynamics inside crowds reliable empirical data are needed enabling an increase of safety and comfort for pedestrians and the design of models reflecting the real dynamics. Manual procedures for collecting this data are very time-consuming and usually do not supply sufficient accuracy in space and …

PickYOLO: Fast deep learning particle detector for annotation of cryo electron tomograms

PickYOLO is a super-fast, universal particle detector, based on the deep-learning real-time object recognition system YOLO (You Only Look Once). After training with the centre coordinates of a few hundred representative particles, the network automatically detects additional particles …

PixelPatrol is a tool designed for the systematic validation of scientific image datasets. It helps researchers proactively assess their data before engaging in computationally intensive analysis, ensuring the quality and integrity of datasets for reliable downstream analysis.

Polarityjam is a software suite to study endothelial cell behavior and more. Visit https://polarityjam.readthedocs.io/en/latest/index.html for more informations!

The VLBI data analysis software PORT estimates Earth orientation parameters, radio telescope and radio source coordinates, as well as other, auxiliary parameters employing weighted least-squares estimation. PORT is designed to process VGOS observations, as well as traditional S-/X-band and single-band observations, regardless of data length. PORT processes both Intensive and …

preCICE is an open-source coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.

Partitioned means that preCICE couples existing programs/solvers capable of simulating a subpart of the complete physics involved in a simulation. This allows for the high flexibility that is …

When using light with short wavelengths, such as in the extreme ultraviolet (EUV) regime, conventional focusing optics are no longer practical due to strong material absorption and fabrication limitations. Instead, the sample is scanned, and diffraction patterns are recorded directly behind it. Using numerical reconstruction algorithms, both the amplitude and …

Conventional (CP) and Fourier (FP) ptychography have emerged as versatile quantitative phase imaging techniques. While the main application cases for each technique are different, namely lens-less short wavelength imaging for CP and lens-based visible light imaging for FP, both methods share a common algorithmic ground. CP and FP have in …

pyDIDAS (python DIffraction Data Analysis Suite) is a toolset developed at Helmholtz-Zentrum Hereon to improve the ease of use and efficiency of diffraction data analysis. A key requirement is to create a graphical user interface of the software and processing which scales with available resources to allow running pyDIDAS on …

Collection of neural network models for automatic image segmentation of microscopic tumor spheroids. Intended to be used with nnU-Net deep-learning framework. Trained and tested on a total of microscopic images of mouse pheochromocytoma (MPC) tumor cells.

In addition to the trained network model, a PyQt5-based graphical user interface tool is …

PyPlaque

We introduce PyPlaque, an open-source Python package focusing on flexibility and modularity rather than a bulky graphic user interface. Unlike previous methods, an abstracted architecture using object-oriented programming allows accommodation of various experimental containers and specimen carriers as data structures while focusing on phenotype-specific information. Aligned with the logical …