Helmholtz Institute Freiberg for Resource Technology
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1328 research outputs found
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Data publication: Portable Droplet-Based Real-Time Monitoring of Pancreatic α-Amylase in Postoperative Patients
No full textresearch data on amylase concentration detection (Pancreatic α-Amylase in Postoperative Patients) with millifluidic device and plate reader and their statistical analysi
Data Publication: Ab initio path integral Monte Carlo simulations of hydrogen snapshots at warm dense matter conditions
No full textThis is the archived datasets used for the publication in the article: Ab initio path integral Monte Carlo simulations of hydrogen snapshots at warm dense matter conditions. The dataset also contains the data-analysis python scripts
Data Publication: Growth and Martensitic Transformation of Ferromagnetic Co-Cr-Ga-Si Epitaxial Films
No full textRaw data of a paper done by Yuru Ge. The paper title is finally signed as: Growth and Martensitic Transformation of Ferromagnetic Co-Cr-Ga-Si Epitaxial Films. The authors are Yuru Ge, Klara Lünser, Lukas Fink, Fabian Ganss, and Sebastian Fähler. The raw data will be for the first time online published here in Rodare. The raw data order matches the order of the Figures of the so-called final draft which will be together uploaded with the raw data folders
zetapotential of spodumene with decyl punicine
No full textData set of zetapotential measurements of a spodumene dispersion and spodumene dispersion with decyl punicine.
Measurements were carried out in 10 mM KCl background at 2.5 wt-% spodumene (x < 10 µm). For the measurement with decyl punicine a concentration of 10 µM surfactant was used
Data publication: Modelling of non-uniform core deformations in SFRs by using DYN3D with coordinate transformation method in the framework of the ESFR-SMART project Task1.4.3
No full textThe research data contains reactor core models, homogenized cross section data, calculation results and post-processing scripts for the verification and validation of the coordinate transformation method for non-uniform radial expansions of SFR cores
High-content multi-spectral fluorescence microscopy sample preparation artefacts
No full textHow to cite us
Sharma, Vaibhav, and Artur Yakimovich. "A deep learning dataset for sample preparation artefacts detection in multispectral high-content microscopy." Scientific Data 11, no. 1 (2024): 232.
@article{sharma2024deep,
title={A deep learning dataset for sample preparation artefacts detection in multispectral high-content microscopy},
author={Sharma, Vaibhav and Yakimovich, Artur},
journal={Scientific Data},
volume={11},
number={1},
pages={232},
year={2024},
publisher={Nature Publishing Group UK London}
}
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Dataset Description
Sample preparation artefacts represent a significant source of errors in high-content screening datasets leading to misinterpretation of results in drug discovery. To address this we have created a multispectral high-content imaging dataset with typical sample preparation artefacts added to the samples. This dataset consists of high-content images of cultured HeLa ATCC cells in the presence of typical sample preparation artefacts. The aim of this dataset. HeLa cells imaged in this dataset were cultured in a black 96-well (rows A to H and columns 1 to 12) polystyrene imaging plate (Corning, Sigma).
To obtain a dataset similar to the experimental setup of a high-content image-based screening we have used a 96-well (rows A to H and columns 1 to 12) black polystyrene imaging plate (Corning, Sigma). HeLa cells were seeded a day prior to the experiment in 200 µL volume (per well) containing 250000 cells per mL in Dulbecco’s Modified Eagle’s Medium (Sigma) containing 10% fetal calf serum (Sigma) 4500 mg/L glucose (Sigma), sodium bicarbonate (Sigma), L-glutamine (Sigma), sodium pyruvate (Sigma), and non-essential amino acids (Sigma). To obtain a gradient of cell density, the cell suspension was stepwise diluted at 1:2 ratio during seeding (columns 2 to 12). The first column was reserved as no-cells control. Upon seeding, the HeLa cells were incubated overnight at 37° C in a 5% CO2 atmosphere with humidity control. The next day after seeding, cells were fixed with 4% paraformaldehyde (Sigma) solution prepared in phosphate buffer saline (PBS, Sigma). Upon fixation, HeLa cell nuclei were stained with Hoechst 33342 dye (Sigma) at 40 µg/mL concentration prepared in PBS. Row A was kept unstained as the control without Hoechst dye. Upon preparation of the bona fide artefact-free experimental plate, we have collected samples of dust across the approximately 100 m2 laboratory and prepared a suspension of these dust samples in PBS. Next, we added this suspension to rows A to G of the 96-well plate, leaving row H as an artefact-free control.
The dataset consists of images obtained with 4x and 10x objectives using fluorescence cube assemblies for DAPI, CFP, GFP, TRITC and Cy5 channels. For hardware reasons, images with the CFP filter cube were obtained separately from images with DAPI, CFP, GFP, TRITC and Cy5 filter cubes. Furthermore, CFP images (and in some cases DAPI images) were obtained with varying exposure times corresponding to “_w1”, “_w2” and so on filename suffixes. Images were obtained using ImageXpress Micro XL high-content microscope (Molecular Devices). Images are organised into the following folders:
4x-cfp
4x-dapi-gfp-tritc-cy5
10x-6cfp
10x-6dapi
10x-cfp
dapi-gfp-tritc-cy5
filters_spectra
Here, folders A and B correspond to 4x magnification and contain images obtained with the CFP (folder A) and the other filter cubes respectively (folder B). Each folder contains “TimePoint_1” subfolder containing the raw images. In the case of 4x images, each field of view (“site” designed with “_s1”, “_s2” etc. suffixes) corresponds to a nearly perfect quarter of a 96-well plate well. In addition to the raw images in the “TimePoint_1”, a subfolder “Stitched” contains images of the entire wells. In the case of folder B containing all other fluorescence channels, “_w1”, “_w2”, “_w3”, and “_w4” correspond to a single optimal exposure time of DAPI, GFP, TRITC and Cy5 filters respectively.
Similarly, folders C - F correspond to 10x magnification and contain images of multiple exposures of CFP and DAPI (folders C and D) and single exposures of CFP and other channels (folders E and F). In the case of CFP and DAPI multiple exposures folders, varying exposure times correspond to “_w1”, “_w2” etc. Finally, folder G contains metadata on filter cubes used in the dataset, including the emission and excitation filters spectra for each filter cube
Data publication: Solving the puzzle of hierarchical martensitic microstructures in NiTi by (111)-oriented epitaxial films
No full textThis dataset belongs to the paper "Solving the puzzle of hierarchical martensitic microstructures in NiTi by (111)-oriented epitaxial films" and contains all raw data used for the paper. It includes SEM, TEM, Texture measurements and inverse polfigures. It also contains the MATLAB code for calculating variant orientations, twin boundary and habit plane orientations, and inverse pole figures. Information about sample, measurement techniques and further data description can be found in README.txt
Dataset for "Guided acoustic waves in thin epitaxial films: experiment and inverse problem solution for NiTi"
No full textThis dataset contains data about the epitaxial NiTi film that was used in the publication "Guided acoustic waves in thin epitaxial films: experiment and inverse problem solution for NiTi". It contains the SEM, AFM, FIB and R(T) data used to characterize the film
Multi-sensor spectral database of WEEE polymers
No full textPolymers represent around 25% of total waste from electronic and electric equipment. Any successful recycling process must ensure that polymer-specific functionalities are preserved, to avoid downcycling. This requires a precise characterization of particle compounds moving at high speeds on conveyor belts in processing plants. We present a multi-sensor database including spectra acquired from imaging and point measurement sensors on 23 polymers including ABS, PS, PC, PE-types, PP, PVC, PET-types, PMMA, and PTFE. The techniques applied include hyperspectral imaging sensors (HSI) to map reflectance in the visible to near infrared (VNIR, (350–1000) nm ), short-wave (SWIR, (1000–2500) nm) and mid-wave infrared (MWIR, (2500–5000) nm) as well as point Raman, FTIR and portable spectral spectroradiometer (PSR) instruments.This research activity was supported by EIT RawMaterials within the KAVA up-scaling project "RAMSES-4-CE" (19262). We thank The Helmholtz Institute Freiberg for Resource Technology for supporting and funding the project for the AisaFENIX sensor. We acknowledge the HighSpeedImaging project, Funded by the European Regional Development Fund and the Land of Saxony, for the SPECIM FX50 sensor
Data publication: miniSCIDOM - a scintillator-based tomograph for volumetric dose reconstruction of single laser-driven proton bunches
No full textThe data set comprises raw data, processed data and detector data for the miniSCIDOM detector applied for characterization of proton bunches at a proton cyclotron and a laser-driven proton accelerator