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alnfile

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A Python package for reading AreTomo alignment files into pandas DataFrames, with utilities for converting to IMOD transformation matrices.

Installation

pip install alnfile

Quick start

Basic usage

The main function is alnfile.read() which accepts a file path and an optional alignment type:

import alnfile

# Read either global or local alignments (default global)
global_df = alnfile.read("path/to/your/file.aln")
print(global_df.head())
# Columns: sec, rot, gmag, tx, ty, smean, sfit, scale, base, tilt

# Local alignments   
local_df = alnfile.read("file.aln", alignment_type="local")
print(local_df.head())
# Columns: sec_idx, patch_idx, center_x, center_y, shift_x, shift_y, is_reliable

IMOD Transformation Matrices

Convert alignment data to IMOD-compatible transformation matrices:

import alnfile

# Read alignment data
df = alnfile.read("path/to/your/file.aln")

# Convert DataFrame to transformation matrices (IMOD .xf format)
xf_matrices = alnfile.df_to_xf(df)  # Returns (n_tilts, 2, 3) array
# Each matrix is [[A11, A12, DX], [A21, A22, DY]]

# Use yx convention (swap rows) if needed for specific applications
xf_matrices_yx = alnfile.df_to_xf(df, yx=True)  # Returns (n_tilts, 2, 3) array
# Each matrix is [[A22, A21, DY], [A12, A11, DX]]

Data Structure

Global Alignment DataFrame

Column Type Description
sec int Zero-indexed position in the final aligned stack (excludes dark frames)
rot float Rotation angle of the tilt axis relative to Y-axis (degrees)
gmag float Global magnification adjustment factor
tx float X shift (pixels)
ty float Y shift (pixels)
smean float Statistical metric (implementation-specific, see AreTomo docs)
sfit float Statistical metric (implementation-specific, see AreTomo docs)
scale float Scaling parameter for this tilt
base float Implementation-specific parameter (see AreTomo docs)
tilt float Nominal tilt angle (degrees)

Local Alignment DataFrame

Column Type Description
sec_idx int Tilt position in final tilt series stack, zero-indexed (post dark frame removal)
patch_idx int Sequential patch identifier within this tilt image (zero-indexed)
center_x float Expected x position of patch center relative to image center (pixels)
center_y float Expected y position of patch center relative to image center (pixels)
shift_x float Measured x deviation from expected patch position (pixels)
shift_y float Measured y deviation from expected patch position (pixels)
is_reliable float Confidence flag for patch alignment quality (1.0=reliable, 0.0=unreliable)

Rows will have None values for columns not applicable to their type.

Attribution

This implementation has been adapted from a similar reader in cryoet-alignment repository by Utz H. Ermel (@uermel).

Metadata

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