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Material prediction from confocal images of lasered samples

Material prediction from confocal images of lasered samples

Microscopy and Microanalysis Vol. 27, pp 2021/10/05 / visit count : 197

Articles

Automated, real-time material detection during ultrashort pulsed laser machining using laser-induced breakdown spectroscopy, for process tuning, end-pointing, and segmentation Synthetic Data for Semantic Segmentation A Path to Reverse Engineering in Printed Circuit Boards Hierarchical Surface Restructuring of Ultra‐Thin Electrodes and Microelectrode Arrays for Neural Interfacing with Peripheral and Central Nervous Systems Enhancing 3D SEM Imaging with AI Generating Training Data through Laser Machining and Confocal Analysis Rapid Chip Reverse Engineering Using Laser, FIB, and SEM Sustainability inspired fabrication of next generation neurostimulation and cardiac rhythm management electrodes via reactive hierarchical surface restructuring Synthetic Data for Deep Learning: Segmentation of PCB X-Ray Images Terahertz-readable laser engraved marks as a novel solution for product traceability System and method of detecting or predicting materials in microelectronic devices and laser-based machining techniques with CO2 assisted processing Synthetic data augmentation to enhance manual and automated defect detection in microelectronics

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