Refine
Year of publication
Document Type
Language
- English (46) (remove)
Has Fulltext
- no (46)
Is part of the Bibliography
- no (46) (remove)
Keywords
- Fluorescence lifetime imaging (9)
- Fluorescence (8)
- Phase shift (8)
- fluorescence (8)
- Neural networks (7)
- FD-FLIM (6)
- Microelectronics (6)
- Diode lasers (5)
- Microscopy (4)
- Image processing algorithms (3)
- Laser sources (3)
- MLP (3)
- Plastics (3)
- Raman spectroscopy (3)
- polymer (3)
- Bandpass filters (2)
- FLIM (2)
- Fluorescence lifetime (2)
- Image processing (2)
- Phase modulation (2)
- Positron emission tomography (2)
- Stray light (2)
- fluorescence lifetime (2)
- fluorescence lifetime imaging (2)
- wood (2)
- ADC (1)
- Classification algorithms (1)
- Confocal laser scanning microscopy (1)
- Current measurement (1)
- Custom specific electronics (1)
- DDR4 SDRAM technology (1)
- DRAM Devices (1)
- DRAM Failure Analysis (1)
- DRAM retention solder simulation (1)
- Delta-Sigma (1)
- Dogs (1)
- Electrooptical waveguides (1)
- Environment (1)
- Environmental science (1)
- Failure Analysis (1)
- Feature extraction (1)
- Fluorescence microscopy (1)
- Fourier transforms (1)
- Frequency modulation (1)
- Frequency-domain analysis (1)
- Gaussian analysis (1)
- ISC Measurements (1)
- Lasers and electrooptics (1)
- Loop transformation (1)
- Loss measurement (1)
- MSP430 Launch Pad (1)
- Material identification (1)
- MathWorks' HDL (1)
- Microcomputer (1)
- Microplastic contamination (1)
- Microplastic in soils (1)
- Microplastics (1)
- Moisture (1)
- Multilayer perceptrons (1)
- Optical filters (1)
- PV-Cell defects (1)
- Photovoltaik (1)
- Plastic identification (1)
- Post-consumer wood classification (1)
- RFC (1)
- Random forests (1)
- Rapid-FLIM (1)
- Rapid-Fluorescence Lifetime Imaging Microscopy (1)
- Sensors (1)
- Soil (1)
- Spatial resolution (1)
- Terrestrial pollution (1)
- Thresholding (Imaging) (1)
- Time measurement (1)
- Training (1)
- Ultraviolet radiation (1)
- Uncertainty (1)
- Visualization (1)
- Xilinx XC9572XL CPLD (1)
- Zedboard (1)
- aircraft instrumentation (1)
- bandwidth (1)
- blob detection (1)
- characterization (1)
- data acquisition (1)
- decay time (1)
- delta-sigma converter (1)
- effective resolution (1)
- fluorescence properties (1)
- functional verification (1)
- identification of plastics (1)
- lifetime (1)
- liquid crystal displays (1)
- mixed signal devices (1)
- model-based development (1)
- neural networks (1)
- parallelization (1)
- pattern analysis (1)
- plastic identification (1)
- plastic sorting (1)
- plastics identification (1)
- polymer identification (1)
- post-consumer wood (1)
- quantum efficiency (1)
- sensors (1)
- system simulation (1)
- waste wood (1)
- wood species identification (1)
Institute
A parallel design concept of Delta-Sigma modulators that optimizes the resolution and the bandwidth for a highly dynamic position control in industrial applications. The idea is realized on a printed circuit board and tested by using a comprehensive measurement setup. The effective number of bits is increased by 2.5 bits at a fixed frequency. For a constant resolution, the design approach allows smaller filter lengths and a decrease of the delay by 25%.
Development of a Neural Network for Automatic Classification of Post-Consumer Wood Using Rapid-FLIM
(2023)
The economic use of wood is a growing sector, not only because of the significant advantage of wood to retain CO 2 . It is crucial to increase the material recycling of wood in several lifecycles, but currently, there is no reliable post-consumer wood sorting technique in line. This research measures 365 post-consumer wood samples of classes A1-4 four times with the frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) subset method rapid fluorescence lifetime imaging microscopy (Rapid-FLIM). The data is analyzed on their statistical features. Four neural networks based on Multilayer perceptron are then trained and tested with twelve statistical features extracted from the Rapid-FLIM images. The best model for this application contains the optimizer RMSprop, the activation function SELU and the loss function binary crossentropy. The best model of this structure could achieve a false positive ratio of 4.79 % over the ten folds.
A Novel Approach to Identify Wood Species Optically using Fluorescence Lifetime Imaging Microscopy
(2021)
This contribution presents the results obtained with fluorescence lifetime imaging microscopy (FLIM)within the optical identification and differentiation of the four wood species walnut, beech, spruce, and maple. The experimental setup as well as the evaluation algorithm, with which the experiments were carried out, is explained briefly.
The FD-FLIM technique has a high potential for automated post-consumer wood sorting. A problem of analysing post-consumer wood fluorescence properties is the uncertainty of the post-consumer wood category as the origin of the samples are unknown. In this study, the fluorescence properties of actual post-consumer wood is compared with prepared wood samples. The post-consumer wood samples display slightly different fluorescence intensities and lifetimes due to environmental influences and a higher sample diversity. For improved training of evaluation algorithms for post-consumer wood sorting, the prepared sample set should be extended or the post-consumer wood should be additionally analysed in the laboratory.
For sustainable handling of wood and high material utilization, post-consumer wood has to be sorted by post-consumer wood categories in Germany. The non-destructive FD-FLIM method could improve the wood recycling process by automatic classification of waste wood into post-consumer wood classes. Thus, the phase-dependent fluorescence decay time of treated wood is analysed in this study to obtain the impact of the treatment on the fluorescence decay time. It is shown that treated and untreated wood can be differentiated using the fluorescence decay time, although the state-of-the-art theoretical fluorescence decay time differs from the experimentally determined fluorescence decay time.
In this contribution the frequency domain fluorescence lifetime imaging microscopy (FD-FLIM) technique is evaluated for post-consumer wood sorting. The fluorescence characteristics of several wood samples were determined, whereby two excitation wavelengths (405 and 488 nm) were used. The measured data were processed using algorithmic methods to identify the wood species and post-consumer wood category. With the excitation wavelength of 405 nm, 16 out of 19 samples could be correctly assigned to the corresponding post-consumer wood category by means of the fluorescence lifetimes. Thus, the experimental results revealed the high potential of the FD-FLIM technique for automated post-consumer wood sorting.
Development of a neural network to identify plastics using Fluorescence Lifetime Imaging Microscopy
(2022)
Plastics have become a major part of human’s daily life. An uncontrolled usage of plastic leads to an accumulation in the environment posing a threat to flora and fauna, if not recycled correctly. The correct sorting and recycling of the most commonly available plastic types and an identification of plastic in the environment are important. Fluorescence lifetime imaging microscopy shows a high potential in sorting and identifying plastic types. A data-based and an image-based classification are investigated using python programming language to demonstrate the potential of a neural network based on fluorescence lifetime images to identify plastic types. The results indicate that the data-based classification has a higher identification accuracy compared to the image-based classification.
Existing plastic analysis techniques such as Fourier transform infrared spectroscopy and Raman spectroscopy are problematic because samples must be anhydrous and identification can be hindered by additives. This article describes a new approach that has been successfully demonstrated in which plastics can be classified by neural networks that are trained, validated, and tested by frequency domain fluorescence lifetime imaging microscopy measurements.
The fast classification and identification of plastics presents a significant challenge. The study assesses the suitability of a Multilayer Perceptron to classify and identify commonly found plastic types using Rapid-FLIM, achieving an accuracy of 88.33%. @inproceedingsSchwarz:23, Increasing demand for wood products requires methods to determine its harvest origin and ensure sustainable and legal sourcing. In 15 out of 21 cases, the origin of Quercus robur was differentiable in FD-FLIM studies.
Comprehensive guide to the process and test methods used for electronic device failure analysis. Contains dozens of articles—contributed by industry experts—covering a wide range of topics involving the failure analysis of microelectronics. It places the most important and up-to-date information on this subject at your fingertips.
Topic coverage includes:
Failure Analysis Process Flow
Failure Verification
Failure Modes and Failure Classification
Special Devices (MEMS, Optoelectronics, Passives)
Fault Localization Techniques: Package Level (NDT)
Die Level (Depackaging, Photon Emission, Microthermography, Laser-Based Methods, Particle Beam Methods)
Deprocessing & Imaging Techniques: Deprocessing
General Imaging Techniques
Local Deprocessing & Imaging
Circuit Edit and Design Modification
Material Analysis Techniques
Reference Information: Important Topics for Semiconductor Devices
Failure Analysis Techniques Roadmap
Failure Analysis Operations and Management
Appendices: Failure Analysis Terms, Definitions, and Acronyms
Industry Standards