Welcome to Bacteria’s documentation!

Bacteria and a Python library to analyze SuperSegger (with Omnipose) data. The library was developed using procedural programming to facilitate its use by users with little experience in Python. The code is fully available on GitHub!

Check out the Intrdocution section for further information, including how to Installation the project.

Contents

• Intrdocution
  • Installation
  • IO
  • Single data
  • Concatenate data
  • Filters
  • Hint!
  • Colab Tutorial
• Data Structure
  • 2D data
  • 3D data
• API
  • Imports and Data
  • Experiment in time
  • Cell Cycle Analysis
  • Lineages Analysis
  • Minima Analysis
  • Colab Tutorial
• Functions
  • bin_column()
  • cells_length()
  • cells_pos_shift()
  • cells_pre_shift()
  • ci_bootstrap()
  • column2d_mean()
  • column_mean()
  • combined_filters()
  • concatenate_clist()
  • derivative()
  • derivative_binning()
  • df_data2d()
  • df_data3d()
  • diff_minima()
  • fluor_lineage()
  • lineage_corr_filter()
  • lineage_derivative()
  • lineages()
  • lineages_pos_shift()
  • lineages_pre_shift()
  • lineages_shift()
  • longer_lineages()
  • plot_2d_data()
  • plot_bins()
  • plot_cell_lineage()
  • plot_cell_size_lineage()
  • plot_column2d_mean()
  • plot_column_mean()
  • plot_corr_lineage()
  • plot_derivative_mean()
  • plot_diff_minima()
  • plot_distance_minima()
  • plot_distance_minima_lineage()
  • plot_fluor_lineage()
  • plot_fluor_lineage_single_cell()
  • plot_large_lineages()
  • plot_lineage_derivative()
  • plot_lineage_ratio()
  • plot_lineages_check()
  • plot_reverse_lineages()
  • plot_total_fluo_volume()
  • roll_mean_plot2D()
  • roll_mean_plot3D()
  • scatter_linear_regression()
  • smooth()