Neutron-based tomography is a promising non-invasive imaging method that provides high sensitivity for detecting some low-Z battery materials. Recently, neutron imaging has been used in conjunction with X-ray µCT to combine the advantages of both methods in correlative imaging (CI). Here, CI refers to individual neutron and X-ray µCT collected on the same sample asynchronously. Because neutrons are sensitive to some low-Z materials (Li, H), and X-rays are sensitive to higher-Z materials (Cu, Al current collectors), the combination of these two techniques enables more information-rich imaging that can lead to improved understanding of the electrochemical process associated with battery degradation. For example, Ziesche et al. used correlative neutron and X-ray tomography for 4D (x, y, z, time) imaging of Li-batteries to observe mechanical degradation in a commercial Li/MnO 2 battery. Using correlative neutron and X-ray tomography, Sun et al. investigated the connection between morphological evolution of Li and the overall Li-O 2 battery performance. Although CI is very useful, recent works have demonstrated that collecting neutron and X-ray µCT simultaneously from the same location of the sample enables identification and subsequent segmentation of more components over individual segmentations of neutron and X-ray images in CI. In this work, we demonstrate the value of simultaneous neutron-and X-ray-based tomography (NeXT) as a non-destructive imaging modality for ex-situ 3D visualization of degradation on XFCcycled graphite anodes (Figure ). Specifically, we characterize one pristine and one XFC-cycled graphite anode strip (9C charging for 450 cycles). We discuss the database-derived neutron and X-ray linear attenuation coefficients that serve as the basis of materials identification in the 2D bivariate histogram phase segmentation of LIB components. Our results highlight the promise of NeXT, which brings together the strengths of both the neutron and X-ray µCT techniques by combining the two datasets collected from the same location of the sample, for segmentation of battery components. Our ex-situ analysis motivates the design of a NeXT-friendly LIB geometries for in-situ and operando 3D visualization of graphite anode degradation at the separatorelectrolyte-anode interface during XFC. n RESULTS AND DISCUSSION.