NanoMi: An open source electron microscope hardware and software platform

TEMGYM Advanced – NanoMi lens characterisation

“…However, finding the principal rays 𝑔 & ℎ is also even more useful than just a first order description, as their slope and position form part of the solution of the aberration integrals to find the third-order aberration coefficients of the lens, which is discussed in the sectionNanoMi Lens Aberration Coefficients. The linearised equation of motion implemented in our ray tracing code TEMGYM Advanced calculates the first-order optical properties of the NanoMi lens and verifies the accuracy of our FEM calculation by enabling us to compare our focal length results (determined by the axial potential calculated by the package FEMM) to those presented previously by NanoMi & Rempfer 25,39 40,41 method is used to solve the first-order ODE ( 4); An adaptive step size method is very advantageous because there are large regions between the object and the image where the ray experiences no force from the lens, and thus a larger step size in those regions significantly speeds up the calculation. The traced rays (𝑔 & ℎ) and their slope are fit via a cubic spline polynomial, and then a root finding algorithm is used to obtain the focal length and gaussian image plane after the lens.…”

“…A further step that will enable the community to develop a digital twin further will be to have access to software that can characterise component performance openly, in a format that enables further integration with the de facto language for machine learning analysis, Python. The work presented in this paper uses access to the open-source electron microscope project entitled NanoMi 25 , which openly shares its electrostatic lens designs, in combination with our ray tracing analysis software TEMGYM Advanced, to detail how to perform a complete characterisation of the first-order properties and third order geometric aberration coefficients of a real electrostatic lens.…”

A free, open-source method for automated mapping of quantitative mineralogy from energy-dispersive X-ray spectroscopy scans of rock thin sections

“…For example, Orfeo Toolbox has recently been unofficially extended to utilize the Google TensorFlow library (Abadi et al, 2016) to perform deeplearning tasks on remote sensing imagery (Cresson, 2018(Cresson, , 2022. There are also efforts to develop open-source scanning electron microscope systems and attendant software such as the NanoMi project (Malac et al, 2022).…”