Spatial Location in Integrated Circuits through Infrared Microscopy †.

Abelé, Raphaël; Damoiseaux, Jean-Luc; Moubtahij, Redouane El; Boi, Jean-Marc; Fronte, Daniele; Liardet, Pierre-Yvan; Merad, Djamal; Aider, Omar Ait; Avdelidis, Nico P.

In this paper, we present an infrared microscopy based approach for structures' location in integrated circuits, to automate their secure characterization. The use of an infrared sensor is the key device for internal integrated circuit inspection. Two main issues are addressed. The first concerns the scan of integrated circuits using a motorized optical system composed of an infrared uncooled camera combined with an optical microscope. An automated system is required to focus the conductive tracks under the silicon layer. It is solved by an autofocus system analyzing the infrared images through a discrete polynomial image transform which allows an accurate features detection to build a focus metric robust against specific image degradation inherent to the acquisition context. The second issue concerns the location of structures to be characterized on the conductive tracks. Dealing with a large amount of redundancy and noise, a graph-matching method is presented—discriminating graph labels are developed to overcome the redundancy, while a flexible assignment optimizer solves the inexact matching arising from noises on graphs. The resulting automated location system brings reproducibility for secure characterization of integrated systems, besides accuracy and time speed increase.

INTEGRATED circuits; INFRARED microscopy; INFRARED cameras; INFRARED imaging; GRAPH labelings; OPTICAL microscopes

Sensors (14248220), 2021, Vol 21, Issue 6, p2175

1424-8220

Academic Journal

10.3390/s21062175