BibTex format
@article{Docherty:2026:10.1039/d6dd00321d,
author = {Docherty, R and Riley, S and Morley, JD and Papoutsellis, E and Bobitan, A and Donoghue, J and Rankin, K and Alvarez, Borges F and Salinas-Farran, L and Michalik, S and Liptak, A and Burca, G and Autran, P-O and Wright, J and Kockelmann, W and Gutowski, O and Dippel, A-C and von, Zimmermann M and Matras, D and Winiarski, B and Mangum, J and Popeil, M and Finegan, DP and Gott, JA and Proprentner, D and West, G and Piper, LFJ and Dong, H and Jones, MP and Iacoviello, F and Llewellyn, AV and Jervis, R and Kimura, Y and Amezawa, K and Sekizawa, O and Ardakani, M and Omirkhan, A and Ryan, M and Douglas, J and Wang, S and Giuliani, F and Mulcahy, N and Conroy, S and George, C and Beale, AM and Jacques, SDM and Cooper, S and Vamvakeros, A},
doi = {10.1039/d6dd00321d},
journal = {Digital Discovery},
title = {Battery Imaging Library: multi-length scale and multi-modal synchrotron and laboratory battery imaging data for all},
url = {http://dx.doi.org/10.1039/d6dd00321d},
year = {2026}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - Battery research increasingly relies on advanced imaging, yet open access to such data remains rare, scattered across various sources, and difficult to find. The Battery Imaging Library (BIL) is the first open, curated collection ofmulti-modal and multi-length scale battery imaging datasets, accompanied by a searchable, FAIR-compliant website. Distinctive features include the release of raw experimental data (radiographs, sinograms, X-ray and electron diffraction patterns) together with rare operando and multi-resolution datasets. Each dataset is linked to Zenodo DOIs with metadata, ensuring persistence and citability; open-source Python scripts for preprocessing and reconstruction are also provided for various CT modalities. BIL enables algorithm benchmarking, machine learning, and teaching using experimental and industrially relevant data. By combining coverage across modalities, length scales, and chemistries with raw data accessibility and a FAIR-aligned web platform, the Battery Imaging Library provides a foundation for openness and reproducibility in battery imaging. The library is available here: https://www.batteryimaginglibrary.com
AU - Docherty,R
AU - Riley,S
AU - Morley,JD
AU - Papoutsellis,E
AU - Bobitan,A
AU - Donoghue,J
AU - Rankin,K
AU - Alvarez,Borges F
AU - Salinas-Farran,L
AU - Michalik,S
AU - Liptak,A
AU - Burca,G
AU - Autran,P-O
AU - Wright,J
AU - Kockelmann,W
AU - Gutowski,O
AU - Dippel,A-C
AU - von,Zimmermann M
AU - Matras,D
AU - Winiarski,B
AU - Mangum,J
AU - Popeil,M
AU - Finegan,DP
AU - Gott,JA
AU - Proprentner,D
AU - West,G
AU - Piper,LFJ
AU - Dong,H
AU - Jones,MP
AU - Iacoviello,F
AU - Llewellyn,AV
AU - Jervis,R
AU - Kimura,Y
AU - Amezawa,K
AU - Sekizawa,O
AU - Ardakani,M
AU - Omirkhan,A
AU - Ryan,M
AU - Douglas,J
AU - Wang,S
AU - Giuliani,F
AU - Mulcahy,N
AU - Conroy,S
AU - George,C
AU - Beale,AM
AU - Jacques,SDM
AU - Cooper,S
AU - Vamvakeros,A
DO - 10.1039/d6dd00321d
PY - 2026///
SN - 2635-098X
TI - Battery Imaging Library: multi-length scale and multi-modal synchrotron and laboratory battery imaging data for all
T2 - Digital Discovery
UR - http://dx.doi.org/10.1039/d6dd00321d
ER -