New materials integration and improved design can be promoted by using atom probe tomography (APT) as an analysis technique. This article provides an overview of APT principles and setups and provides diverse examples that focus on its use to characterize electronic devices.

Four-dimensional scanning transmission electron microscopy (4D-STEM) is a spatially resolved electron diffraction technique that records the electron scattering distribution at each point of the electron beam raster, thereby producing a four-dimensional dataset. This second installment of this series presents applications of 4D-STEM, including measurements of crystal orientation and phase, short- and medium-range order, and internal electromagnetic fields.

This article describes recent advancements in multi-probe sensing schemes and development of a tomographic atomic force microscopy tool for materials research and failure analysis.

A scanning electron microscope system measures voltage contrast on device-under-test surfaces. This article addresses a limited set of applications that rely on voltage contrast (VC) measurements in SEM systems, showing how VC measurements can probe electrical activity running at speeds as high as 2 GHz on modern active integrated circuits.

The high energy-resolving power of superconducting x-ray detectors reduces unwanted x-ray backgrounds, uses x-ray photons efficiently, and allows for discrimination among multiple chemical elements in a sample. This article discusses the challenges of analyzing the internal structure and composition of integrated circuits, and how 3D imaging can benefit manufacturers and researchers. It covers the development of superconducting x-ray sensors, their advantages over traditional sensors, potential applications, and focus areas for future work to develop this technology.

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.

Four-dimensional scanning transmission electron microscopy (4D-STEM) is a spatially resolved electron diffraction technique that records the electron scattering distribution at each sampling point. 4D-STEM provides researchers with information that can be analyzed in a multitude of ways to characterize a sample’s structure, including imaging, strain measurement, and defect analysis. This article introduces the basics of the technique and some areas of application with an emphasis on semiconductor materials.

This is the story of how the mainstream Omniprobe FIB lift-out solution was invented and delivered to the market.

Scanning microwave impedance microscopy is a nearfield technique using microwaves to probe the electrical properties of materials with nanoscale lateral resolution.

This article discusses sample preparation challenges that have impeded progress in producing bias-enabled TEM samples from electronic components, as well as strategies to mitigate these issues.

This article presents and evaluates a calibration method that significantly improves the spectral information that can be extracted from photon emission signals obtained from semiconductor devices. Step-by-step instructions are given for calibrating photon emission microscopes for specific measurements such as device parameters and material band gap. The article also discusses the types of errors that can occur during calibration. Although the procedure presented is used on InGaAs sensors, it applies to all common photon emission detectors.

This article demonstrates the value of atomic force microscopes, particularly the different electrical modes, for characterizing complex microelectronic structures. It presents experimental results obtained from deep trench isolation (DTI) structures using SCM and SSRM analysis with emphasis on the voltage applied by the AFM. From these measurements, a failure analysis workflow is proposed that facilitates AFM voltage optimization to reveal the structure of cross-sectioned samples, make comparisons, and determine the underlying cause of failures.

This article provides an overview of a commercial 3D X-ray system, explaining how it acquires high-resolution images of submicron defects in large intact samples. It presents examples in which the system is used to reveal cracks in thin redistribution layers, voids in organic substrates, and variations in TSV metallization on 300-mm wafers. As the authors explain, each scan can be done in as little as a few minutes regardless of sample size, and the resulting images are clear of the beam hardening artifacts that often cause problems in failure analysis and reverse engineering.

Sample preparation is a critical step for dopant profiling of FinFET devices, especially when targeting individual fins. This article describes a sample-preparation technique based on low-energy, shallow-angle ion milling and shows how it minimizes surface amorphization and improves scanning capacitance microscopy (SCM) signals representative of local active dopant concentration.

This article discusses the challenges associated with nanoprobing advanced technology node devices and explains how to optimize SEM images for beam voltages of 100 eV or less.

This article discusses the tradeoffs associated with minimizing beam dose in a scanning transmission electron microscope (STEM) and explains how to reduce beam exposure through subsampling and inpainting, a signal reconstruction technique that optimizes image quality and resolution. Although the method is described in the context of STEM imaging, it applies to any scanned imaging system.

This article describes the basic measurement physics of scanning nitrogen vacancy (NV) microscopy and the various ways it can be used in semiconductor device failure analysis. Scanning NV microscopy can measure topography as well as magnetic fields, local current density, ac noise, and local temperature variations.

Scanning nonlinear dielectric microscopy (SNDM) is a scanning probe technique that measures changes in oscillation frequency between the probe tip and a voltage-biased sample. As the probe moves across the surface of a semiconductor device, the oscillation frequency changes in response to variations in dielectric properties, charge and carrier density, dopant concentration, interface states, or any number of other variables that affect local capacitance. Over the past few years, researchers at Tohoku University have made several improvements in dielectric microscopy, the latest of which is a digital version called time-resolved SNDM (tr-SNDM). Here they describe their new technique and present an application in which it is used to acquire CV, d C /d V-V , and DLTS data from SiO 2 /SiC interface samples.

This article provides a brief overview of STEM-in-SEM, discussing the pros and cons, recent advancements in detector technology, and the emergence of 4D STEM-in-SEM, a relatively new method that uses diffraction patterns recorded at different raster positions to enhance images offline in selected regions of interest.

This article describes a novel method for improving image resolution achieved using time-resolved photon emission techniques. Instead of directly generating images from photon counting, all detected photons are displayed as a point cloud in 3D space and a new higher-resolution image is generated based on probability density functions associated with photon distributions. Unsupervised learning algorithms identify photon distribution patterns as well as fainter emission sources.