OASYS (OrAnge SYnchrotron Suite): an open-source graphical environment for x-ray virtual experiments

2017 ◽  
Author(s):  
Luca Rebuffi ◽  
Manuel Sanchez del Rio
Keyword(s):  
Open Source ◽  
X Ray ◽  
Virtual Experiments ◽  
Graphical Environment

A proposal for an open source graphical environment for simulating x-ray optics

2014 ◽  
Author(s):  
Manuel Sanchez del Rio ◽  
Luca Rebuffi ◽  
Janez Demsar ◽  
Niccolo Canestrari ◽  
Oleg Chubar
Keyword(s):  
Open Source ◽  
Ray Optics ◽  
X Ray ◽  
Graphical Environment

An Overview of 3D X-Ray Reconstruction Algorithms for PCB Inspection

2020 ◽  
Author(s):  
Alexandra Roberts ◽  
John True ◽  
Nathan T. Jessurun ◽  
Dr. Navid Asadizanjani
Keyword(s):  
Open Source ◽  
Printed Circuit Boards ◽  
Critical Role ◽  
Reconstruction Algorithms ◽  
X Ray ◽  
Reconstruction Methods ◽  
Verification Methods ◽  
Pcb Manufacturing ◽  
Micro Tomography ◽  
The Government

Abstract Printed Circuit Boards (PCBs) play a critical role in everyday electronic systems, therefore the quality and assurance of the functionality for these systems is a topic of great interest to the government and industry. PCB manufacturing has been largely outsourced to cut manufacturing costs in comparison with the designing and testing of PCBs which still retains a large presence domestically. This offshoring of manufacturing has created a surge in the supply chain vulnerability for potential adversaries to garner access and attack a device via a malicious modification. Current hardware assurance and verification methods are based on electrical and optical tests. These tests are limited in the detection of malicious hardware modifications, otherwise known as Hardware Trojans. For PCB manufacturing there has been an increase in the use of automated X-ray inspection. These inspections can validate a PCB’s functionality during production. Such inspections mitigate process errors in real time but are unable to perform highresolution characterization on multi-layer fully assembled PCBs. In this paper, several X-ray reconstruction methods, ranging from proprietary to open-source, are compared. The high-fidelity, commercial NRecon software for SkyScan 2211 Multi-scale X-ray micro-Tomography system is compared to various methods from the ASTRA Toolbox. The latter is an open-source, transparent approach to reconstruction via analytical and iterative methods. The toolbox is based on C++ and MEX file functions with MATLAB and Python wrappers for analysis of PCB samples. In addition, the differences in required imaging parameters and the resultant artifacts generated by planar PCBs are compared to the imaging of cylindrical biological samples. Finally, recommendations are made for improving the ASTRA Toolbox reconstruction results and guidance is given on the appropriate scenarios for each algorithm in the context of hardware assurance for PCBs.

scholarly journals OnDA: online data analysis and feedback for serial X-ray imaging

2016 ◽  
Vol 49 (3) ◽  
pp. 1073-1080 ◽  
Author(s):  
Valerio Mariani ◽  
Andrew Morgan ◽  
Chun Hong Yoon ◽  
Thomas J. Lane ◽  
Thomas A. White ◽  
...  
Keyword(s):  
Data Analysis ◽  
Open Source ◽  
Free Electron ◽  
Free Electron Laser ◽  
Online Data ◽  
Essential Information ◽  
X Ray ◽  
X Ray Imaging ◽  
The Face ◽  
Online Feedback

This article describes a free and open-source data analysis utility designed for fast online feedback during serial X-ray diffraction and scattering experiments:OnDA(online data analysis). Three complete real-time monitors for common types of serial X-ray imaging experiments are presented. These monitors are capable of providing the essential information required for quick decision making in the face of extreme rates of data collection. In addition, a set of modules, functions and algorithms that allow developers to modify the provided monitors or develop new ones are provided. The emphasis here is on simple, modular and scalable code that is based on open-source libraries and protocols.OnDAmonitors have already proven to be invaluable tools in several experiments, especially for scoring and monitoring of diffraction data during serial crystallography experiments at both free-electron laser and synchrotron facilities. It is felt that in the future the kind of fast feedback thatOnDAmonitors provide will help researchers to deal with the expected very high throughput data flow at next-generation facilities such as the European X-ray free-electron laser.

TheSmall Angle Scattering ToolBox(SASTBX): an open-source software for biomolecular small-angle scattering

2012 ◽  
Vol 45 (3) ◽  
pp. 587-593 ◽  
Author(s):  
Haiguang Liu ◽  
Alexander Hexemer ◽  
Peter H. Zwart
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Small Angle ◽  
Small Angle Scattering ◽  
Scattering Data ◽  
Model Reconstruction ◽  
Biomolecular Structure ◽  
X Ray ◽  
Structure And Dynamics ◽  
Angle Scattering

Small-angle X-ray and neutron scattering experiments are broadly applied to study biomolecular structure and dynamics. This article presents theSmall Angle Scattering ToolBox(SASTBX), which provides a wide-ranging functionality for the analysis of biological small-angle scattering data, from data reduction to model reconstruction and refinement. TheSASTBXis an open-source package, which is freely available at http://sastbx.als.lbl.gov.

scholarly journals Virtual X-Ray Laboratory for Teaching Crystallography and Other Courses

2014 ◽  
Vol 70 (a1) ◽  
pp. C1272-C1272
Author(s):  
Yakov Cherner ◽  
Maija Kukla ◽  
Olga Bunina ◽  
Linn Hobbs
Keyword(s):  
Undergraduate Students ◽  
Human Kidney ◽  
Ferroelectric Ceramics ◽  
Traditional Learning ◽  
Just In Time ◽  
Sample Collection ◽  
X Ray Diffraction ◽  
X Ray ◽  
Virtual Experiments ◽  
Actual Equipment

Contemporary research equipment is not only extremely complex and very expensive, it is typically fully computerized and most tasks are executed without student participation. This creates a number of substantial educational drawbacks and limitations. The paper presents a virtual multifunctional X-ray laboratory (v-Lab) that helps overcome the above mentioned problems, addresses the demands of distance and blended education and meets learning habits of today's students. The v-Lab enables students to practice concepts, tasks, and equipment operations in a manner that can't be achieved on actual equipment. It employs virtual X-ray equipment that realistically imitates the functionality and design of actual equipment and also includes educational analytical software. Virtual data can be exported to popular software as well. Highly interactive online experiments using virtual equipment have been created for undergraduate students to learn fundamental principles underlying the analytical x-ray methods and become familiar with the design and operation of the X-ray equipment. A variety of visual, audio and traditional learning and assessment resources were integrated with virtual experiments to provide students with "just-in-time" learning opportunities. The virtual equipment has also been used for preparing undergraduate and graduate students to perform various research studies including but not limited to: X-Ray diffraction study of phase transitions in ferroelectric ceramics and nanoscale thin films, qualitative phase analysis of various compounds, nanostructured materials and human kidney stones, etc. Examples of virtual experiments used for teaching crystallography and other science and engineering courses at several US and Russian universities are presented and discussed. An easy-to-use authoring tool enables instructors to customize existing virtual experiments, and create new ones, as well as to add their own samples into the sample collection.

scholarly journals DiODe v2: Unambiguous and Fully-Automated Detection of Directional DBS Lead Orientation

2021 ◽  
Vol 11 (11) ◽  
pp. 1450
Author(s):  
Till A. Dembek ◽  
Alexandra Hellerbach ◽  
Hannah Jergas ◽  
Markus Eichner ◽  
Jochen Wirths ◽  
...  
Keyword(s):  
Deep Brain Stimulation ◽  
Open Source ◽  
Brain Stimulation ◽  
Center Of Mass ◽  
Automated Detection ◽  
Ct Scans ◽  
True Solution ◽  
X Ray ◽  
The Past ◽  
Deep Brain

Directional deep brain stimulation (DBS) leads are now widely used, but the orientation of directional leads needs to be taken into account when relating DBS to neuroanatomy. Methods that can reliably and unambiguously determine the orientation of directional DBS leads are needed. In this study, we provide an enhanced algorithm that determines the orientation of directional DBS leads from postoperative CT scans. To resolve the ambiguity of symmetric CT artifacts, which in the past, limited the orientation detection to two possible solutions, we retrospectively evaluated four different methods in 150 Cartesia™ directional leads, for which the true solution was known from additional X-ray images. The method based on shifts of the center of mass (COM) of the directional marker compared to its expected geometric center correctly resolved the ambiguity in 100% of cases. In conclusion, the DiODe v2 algorithm provides an open-source, fully automated solution for determining the orientation of directional DBS leads.

X-Light: an open-source software written in Python to determine the residual stress by X-ray diffraction

2021 ◽  
Vol 54 (4) ◽  
Author(s):  
Tu-Quoc-Sang Pham ◽  
Guillaume Geandier ◽  
Nicolas Ratel-Ramond ◽  
Charles Mareau ◽  
Benoit Malard
Keyword(s):  
Residual Stress ◽  
User Interface ◽  
Synchrotron Radiation ◽  
Stress Analysis ◽  
Open Source ◽  
Graphical User Interface ◽  
Open Source Software ◽  
Diffraction Data ◽  
X Ray Diffraction ◽  
X Ray

X-Light is an open-source software that is written in Python with a graphical user interface. X-Light was developed to determine residual stress by X-ray diffraction. This software can process the 0D, 1D and 2D diffraction data obtained with laboratory diffractometers or synchrotron radiation. X-Light provides several options for stress analysis and five functions to fit a peak: Gauss, Lorentz, Pearson VII, pseudo-Voigt and Voigt. The residual stress is determined by the conventional sin2ψ method and the fundamental method.

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