ASPIRE v0.9.0 is a minor release, adding many scientific features and software improvements. This release provides the following new features: Adds simulated and experimental abinitio pipeline gallery experiments Adds ImageSource subclasses supporting whole-micrograph/particle-coordinate sources Refactor and add Cn symmetry to Gaussian blob volume generation extract-particles preprocessing Adds Reddy Chetterji based image registration Refactors class averaging towards Averager2D framework Volume .mrc loading and saving functions Adds Volume projection gallery tutorial Bug fixes: FB3D and FFB3D fixes (norm legendre factorial and quadrature points) cov2d shrinker formula Redundant Whitening for Simulation sources PolarBasis...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
Added Two new processors, CalibrateAstigmatism and DefaultAstigmatismComputer were created for co...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASPIRE v0.9.0 is a minor release, adding many scientific features and software improvements. This r...
ASPIRE v0.10.0 is large release adding a wide range of features and fixes. This release provides the...
ASPIRE v0.10.1 is a patch release focused on adding several API improvements, bug fixes, and CI upda...
ASPIRE v0.9.1 is a patch release. This release adds the following new features: crop_pad_2d() in as...
ASPIRE v0.11.0 is minor release, adding several scientific and API changes. This release provides th...
ASPIRE v0.12.0 is minor release, adding new scientific features, components, and several improvement...
ASPIRE v0.8.1 is an early patch release. This release provides the following features: New Sphin...
ASPIRE v0.9.2 is a patch release. This release adds the following new features: Bug fixes: Resolves ...
ASPIRE v0.11.1 is patch release, mainly for minor demo updates. This release provides the following ...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
Added Two new processors, CalibrateAstigmatism and DefaultAstigmatismComputer were created for co...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASPIRE v0.9.0 is a minor release, adding many scientific features and software improvements. This r...
ASPIRE v0.10.0 is large release adding a wide range of features and fixes. This release provides the...
ASPIRE v0.10.1 is a patch release focused on adding several API improvements, bug fixes, and CI upda...
ASPIRE v0.9.1 is a patch release. This release adds the following new features: crop_pad_2d() in as...
ASPIRE v0.11.0 is minor release, adding several scientific and API changes. This release provides th...
ASPIRE v0.12.0 is minor release, adding new scientific features, components, and several improvement...
ASPIRE v0.8.1 is an early patch release. This release provides the following features: New Sphin...
ASPIRE v0.9.2 is a patch release. This release adds the following new features: Bug fixes: Resolves ...
ASPIRE v0.11.1 is patch release, mainly for minor demo updates. This release provides the following ...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...
Added Two new processors, CalibrateAstigmatism and DefaultAstigmatismComputer were created for co...
ASpecD is a Python framework for handling spectroscopic data focussing on reproducibility. In short:...