In this work, we demonstrate the effectiveness of deconvolution algorithms in improving the spatial resolution of time-integrated emission images from integrated circuits. A mathematical model of the Point Spread Function (PSF) encompassing both the optical system and the imaging detector properties is used for the deconvolution process. Tuning of the PSF parameters is achieved through the minimization of dedicated cost functions that optimize image resolution while suppressing artifacts in the deconvoluted images. The optimized PSF is then used in both the Lucy-Richardson (L-R) and blind deconvolution algorithms. Results from 32 nm and 14 nm SOI devices show that the deconvolution process significantly improves spatial resolution of time-integrated emission images, pushing their resolution beyond the diffraction limit of Solid Immersion Lenses (SILs).

This work presents a new photon emission microscopy camera prototype for the acquisition of intrinsic light emitted from VLSI circuits during their normal operation. This novel camera was designed to be sensitive to longer wavelengths in order to maximize the signal intensities from modern VLSI chips which are characterized by a red shift in the intrinsic emission spectrum. In this paper, we will characterize the performance of the camera using 32 nm and 22 nm SOI chips. The novel camera is able to collect emission images with the circuit under test operating at a supply voltage down to 0.5 V, exceeding the performance of a state-of-the-art InGaAs camera.

This work presents a comparison of two generations of Superconducting nanowire Single-Photon Detector (SnSPD) prototypes used for Time-Resolved Emission (TRE) measurements from VLSI chips. The performance of the systems is compared in order to understand the figures of merit that a single-photon detector should have to enable the acquisition of time resolved emission waveforms for ultra-low voltage applications. We will show that measurements down to a new World record low 0.4 V supply voltage were made possible by a careful optimization of the detector front-end electronics. We also characterized the emission from devices with different threshold voltages in order to understand how the emission contributions depend on this parameter and how this affects the resulting waveform SNR.