Strain variation within nanoparticles plays a crucial role in defining important properties related to their applications. Transmission electron microscopy (TEM) based imaging techniques are mostly used to determine strain variation within nanoparticle and supporting amorphous carbon film induced artefact in measured strain variation. In this present work, an algorithm is reported which is capable of removing supporting film induced artefacts from measured strain variations within nanoparticles. The effectivity of the algorithm was tested using simulated TEM results which proves that the algorithm works satisfactorily down to t p /t AC ratio of 0.25, where t p and t AC defines the thicknesses along the electron beam of nanoparticle and supporting amorphous film respectively. These simulations also reveal that changing the atomic number of atoms within the nanoparticle, or the density of the amorphous carbon does not affect the algorithm's effectiveness. When the algorithm was applied on experimental TEM results of a TiO 2 nanoparticle, it even worked well for t p /t AC below 0.25, i.e. a relatively thick layer of amorphous carbon. © 2019 Elsevier B.V.