Table 4 Databases and software packages for applying DL methods for image applications.

	Databases
DB Name	Link	Ref.
JARVIS-STM	https://jarvis.nist.gov/jarvisstm	²¹⁷
atomagined	https://github.com/MaterialEyes/atomagined	³⁵²
deep damage	https://git.rwth-aachen.de/Sandra.Korte.Kerzel/DeepDamage	²³⁰
NanoSEM	https://doi.org/10.1038/sdata.2018.172	³⁵³
UHCSDB	http://hdl.handle.net/11256/940	²²³
UHCS micro. DB	http://hdl.handle.net/11256/964	²²⁴
SmBFO	https://drive.google.com/	³⁵⁴
Diffranet	https://github.com/arturluis/diffranet	³⁵⁵
Peregrine v2021-03	https://doi.org/10.13139/ORNLNCCS/1779073	³⁵⁶
Warwick electron microscopy data	https://github.com/Jeffrey-Ede/datasets/wiki	³⁵⁷
Powder bed anamoly	https://www.osti.gov/biblio/1779073	³⁵⁶

	Software packages
Package Name	Link	Ref.
PyCroscopy	https://github.com/pycroscopy/pycroscopy	³⁵⁸
Prismatic	https://github.com/prism-em/prismatic	³⁵²
AtomVision	https://github.com/usnistgov/atomvision	²¹⁷
py4DSTEM	https://github.com/py4dstem/py4DSTEM	³⁵⁹
abTEM	https://github.com/jacobjma/abTEM	³⁶⁰
QSTEM	https://github.com/QSTEM/QSTEM	³⁶¹
MuSTEM	https://github.com/HamishGBrown/MuSTEM	³⁶²
MuSTEM	https://github.com/HamishGBrown/MuSTEM	³⁶²
AICrystallographer	https://github.com/pycroscopy/AICrystallographer	³⁶³
AtomAI	https://github.com/pycroscopy/atomai	³⁶³
EM-net	https://github.com/cellsmb/EM-net	³⁶⁴
NionSwift	https://github.com/nion-software/nionswift	³⁶⁵
EENCM	https://github.com/ceright1/Prediction-material-property	³⁶⁶
DefectSegNet	https://github.com/rajatsainju/DefectSegNet	²²⁹
AMPIS	https://github.com/rccohn/AMPIS	²³⁵
partial-STEM	https://github.com/Jeffrey-Ede/partial-STEM/tree/1.0.0	²³⁷
ZeroCostDL4Mic	https://github.com/HenriquesLab/ZeroCostDL4Mic	³⁶⁷
EBSD indexing	https://github.com/NU-CUCIS/EBSD-indexing	²¹⁹
PADNet-XRD	https://github.com/NU-CUCIS/PADNet-XRD	³⁶⁸
DKACNN	https://github.com/NU-CUCIS/DKACNN	²²¹
PlasticityDL	https://github.com/NU-CUCIS/PlasticityDL	²²²
HomogenizationDL	https://github.com/NU-CUCIS/HomogenizationDL	²⁴¹
LocalizationDL	https://github.com/NU-CUCIS/LocalizationDL	²⁴³
MDGAN	https://github.com/NU-CUCIS/MDGAN	²⁴⁸
MDN-GAN	https://github.com/NU-CUCIS/MDN-GAN	²⁴⁹

Search