An example of the advantage of tracking ∆ Īprist is shown in fig . In order to determine the relationship between grey-level change and the spatial location of particles within the electrode, four subsets of particles were compared. These subsets contained particles from different x-position quartiles. The first quartile is furthest from the current collector and the fourth quartile is closest to the collector. Plotted in figure is the ∆ Īprist for each quartile. It observed that the smaller x-positions values (further from the current collector) have a lesser drop in grey-level compared to those next to the current collector. Implying that cracking reduces with distance from the current collector in this case study. It should be noted that in modelling literature it is predicted that particles furthest from the current collector would experience more damage when C rate was ≥ 3C, whilst at 1C a homogenous distribution of cracking was predicted . Our findings above contradict this where we observed higher levels of cracking closer to the current collector, albeit at a lower C rate of C/3. We suggest that this may be due to particles further from the collector surface having poorer than expected electrical contact, which may result in partial charging and thus less observed damage. This effect may be exacerbated due to the sample being uncalendered, a choice made to avoid the introduction of mechanically-induced cracks due to calendering, as we wanted to isolate electrochemical cracking in this experiment . Additionally, it is possible to use the mean particle grey-level parameter to analyse the behaviour of particles based on conditions. It is easy to calculate the percentage of particles that obey a particular condition, for example, 'Does the particle have a higher mean grey-level in the pristine state compared to the 4.4 V SoC' (Condition 1) and 'Does the particle have a lower mean grey-level at the 4.4 V SoC compared to 2.5 V SoC after discharging' (Condition 2). The percentages of the particles that obey the conditions are plotted as pie charts in figure . Again, the analysis here removed the smallest quartile of particles and did not consider particle edges because they mostly consisted of phase contrast enhanced pixels (see figure ). From this analysis in figure .a, it is observed that a significant majority of particles obey condition 1, suggesting that these particles are becoming damaged by cracks and voids that lower the particle density and, therefore, grey-level. Figure .b shows that a smaller majority of particles obey condition 2. This suggests that during discharge, the particles 'heal' as the cracks and voids in the particle move back together, likely due to the expansion of primary particle crystallites during delithiation .