Kernel-inspired algorithm to transform transmission electron microscopy images into discrete dipole approximation geometries.

In this work, we present a code that transforms 2D transmission electron microscopy images into 3D geometries for discrete dipole approximation simulations in DDSCAT 7.3.3 based on Python 3.

Guidelines for the use and statistical analysis of the Home Office fingermark grading scheme for comparing fingermark development techniques.

This paper provides guidance on how to properly analyse data generated from the Home Office fingermark grading scheme. The core of the issue is that it creates ordinal data and should therefore not be analysed using averages. To reduce confusion, it is recommended to label the different degrees of fingermark development as classes rather than numerical scores.