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<div style="float: left; margin: 0.5em 0.9em 0.4em 0em;">[[File:Abst1 Hauschild iScience2021 24-7.jpg|240px]]</div>
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'''"[[Journal:Fostering reproducibility, reusability, and technology transfer in health informatics|Fostering reproducibility, reusability, and technology transfer in health informatics]]"'''
'''"[[Journal:OptiGUI DataCollector: A graphical user interface for automating the data collecting process in optical and photonics labs|OptiGUI DataCollector: A graphical user interface for automating the data collecting process in optical and photonics labs]]"'''
 
OptiGUI DataCollector is a Python 3.8-based graphical user interface (GUI) that facilitates automated data collection in optics and photonics research and development equipment. It provides an intuitive and easy-to-use platform for controlling a wide range of optical instruments, including [[spectrometer]]s and lasers. OptiGUI DataCollector is a flexible and modular framework that enables simple integration with different types of devices. It simplifies experimental workflow and reduces human error by automating parameter control, data acquisition, and [[Data analysis|analysis]]. OptiGUI DataCollector is currently focused on optical mode conversion utilizing fiber optic technologies ... ('''[[Journal:OptiGUI DataCollector: A graphical user interface for automating the data collecting process in optical and photonics labs|Full article...]]''')<br />


Computational methods can transform healthcare. In particular, [[health informatics]] combined with [[artificial intelligence]] (AI) has shown tremendous potential when applied in various fields of medical research and has opened a new era for precision medicine. The development of reusable biomedical software for research or clinical practice is time-consuming and requires rigorous compliance with [[Quality (business)|quality]] requirements as defined by international standards. However, research projects rarely implement such measures, hindering smooth technology transfer to the research community or manufacturers, as well as reproducibility and reusability. Here, we present a guideline for [[quality management system]]s (QMS) for academic organizations incorporating the essential components, while confining the requirements to an easily manageable effort. It provides a starting point to effortlessly implement a QMS tailored to specific needs and greatly facilitates technology transfer in a controlled manner, thereby supporting reproducibility and reusability. ('''[[Journal:Fostering reproducibility, reusability, and technology transfer in health informatics|Full article...]]''')<br />
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Latest revision as of 15:05, 17 June 2024

Fig1 Soto-Perdomo SoftwareX2023 24.jpg

"OptiGUI DataCollector: A graphical user interface for automating the data collecting process in optical and photonics labs"

OptiGUI DataCollector is a Python 3.8-based graphical user interface (GUI) that facilitates automated data collection in optics and photonics research and development equipment. It provides an intuitive and easy-to-use platform for controlling a wide range of optical instruments, including spectrometers and lasers. OptiGUI DataCollector is a flexible and modular framework that enables simple integration with different types of devices. It simplifies experimental workflow and reduces human error by automating parameter control, data acquisition, and analysis. OptiGUI DataCollector is currently focused on optical mode conversion utilizing fiber optic technologies ... (Full article...)

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