# lfdfiles **Repository Path**: mirrors_cgohlke/lfdfiles ## Basic Information - **Project Name**: lfdfiles - **Description**: Laboratory for Fluorescence Dynamics (LFD) file formats. - **Primary Language**: Unknown - **License**: BSD-3-Clause - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-11-23 - **Last Updated**: 2026-07-05 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README .. This file is generated by setup.py Laboratory for Fluorescence Dynamics (LFD) file formats ======================================================= Lfdfiles is a Python library and console script for reading, writing, converting, and viewing many of the proprietary file formats used to store experimental data and metadata at the `Laboratory for Fluorescence Dynamics `_. Supported formats include: - SimFCS VPL, VPP, JRN, BIN, INT, CYL, REF, BH, BHZ, B64, I64, Z64, R64 - GLOBALS LIF, ASCII - CCP4 MAP - Vaa3D RAW - Bio-Rad(r) PIC - ISS Vista IFLI, IFI, TDFLIM - FlimFast FLIF :Author: `Christoph Gohlke `_ :License: BSD-3-Clause :Version: 2026.6.24 :DOI: `10.5281/zenodo.8384166 `_ Quickstart ---------- Install the lfdfiles package and all dependencies from the `Python Package Index `_:: python -m pip install -U "lfdfiles[all]" Print the console script usage:: python -m lfdfiles --help The lfdfiles library is type annotated and documented via docstrings. See `Examples`_ for using the programming interface. Source code and support are available on `GitHub `_. Requirements ------------ This revision was tested with the following requirements and dependencies (other versions may work): - `CPython `_ 3.12.10, 3.13.14, 3.14.6, 3.15.0b3 64-bit - `Numpy `_ 2.5.0 - `Tifffile `_ 2026.6.1 - `Matplotlib `_ 3.11.0 (optional, for plotting) - `Click `_ 8.4.1 (optional, for command line apps) Revisions --------- 2026.6.24 - Add VistaTdflim class for reading ISS Vista TDFLIM files. - Support Python 3.15. 2026.4.30 - Remove FlimboxFbd, FlimboxFbf, and FlimboxFbs (breaking; use fbdfile). - Remove CziFile, NetpbmFile, OifFile, and TiffFile wrappers (breaking). - Add typed __init__ overrides to subclasses with class-specific parameters. - Drop support for numpy 2.0 (SPEC0). 2026.3.18 - Replace LfdFileRegistry metaclass with __init_subclass__. - Add LfdFile.open classmethod as typed factory for auto-detection. - Add LfdFile._probe classmethod for cheap file pre-screening. - Add asarray overrides with typed signatures to select subclasses. - Convert _components to classmethod. - Drop support for Python 3.11. 2026.1.14 - Improve code quality. 2025.12.12 - Derive LfdFileError from ValueError. - Improve code quality. 2025.9.17 - Many breaking changes to FLIMbox functionality (use fbdfile package instead): - Discourage use of FlimboxFbd, FlimboxFbf, and FlimboxFbs classes. - Use fbdfile package to implement FlimboxFbd, FlimboxFbf, and FlimboxFbs. - Remove flimbox_histogram, flimbox_decode, and sflim_decode functions. - Remove convert_fbd2b64 function and fbd2b64 command line app. - Remove deprecated SimfcsFbf, and SimfcsFbd classes. - Remove deprecated simfcsfbd_histogram and simfcsfbd_decode functions. 2025.7.31 - Read variants of SimFCS REF files. - Drop support for Python 3.10. 2025.5.10 - Mark Cython extension free-threading compatible. - Remove doctest command line option. - Support Python 3.14. 2025.3.16 - Replace deprecated tifffile.stripnull function. - Fix misspelled VistaIfli.header keys. - Drop support for Python 3.9. 2024.10.24 - … Refer to the CHANGES file for older revisions. Notes ----- The API is not stable yet and might change between revisions. Many of the LFD file formats are not documented and might change arbitrarily. This implementation is mostly based on reverse engineering existing files. No guarantee can be made as to the correctness of code and documentation. Experimental data are often stored in plain binary files with metadata available in separate, human readable journal files (``.jrn``). Unless specified otherwise, data are stored in little-endian, C contiguous order. The FLIMbox functionality has been moved to the `fbdfile `_ package. The Laboratory for Fluorescence Dynamics (LFD) was a national research resource center for biomedical fluorescence spectroscopy funded by the National Institutes of Health from 1986 to 2022 (grant P41GM103540). References ---------- The following software is referenced in this module: 1. `SimFCS `_, a.k.a. Globals for Images, is software for fluorescence image acquisition, analysis, and simulation, developed by Enrico Gratton at UCI. 2. `Globals `_, a.k.a. Globals for Spectroscopy, is software for the analysis of multiple files from fluorescence spectroscopy, developed by Enrico Gratton at UIUC and UCI. 3. ImObj is software for image analysis, developed by LFD at UIUC. Implemented on Win16. 4. `FlimFast `_ is software for frequency-domain, full-field, fluorescence lifetime imaging at video rate, developed by Christoph Gohlke at UIUC. 5. `FLImage `_ is software for frequency-domain, full-field, fluorescence lifetime imaging, developed by Christoph Gohlke at UIUC. Implemented in LabVIEW. 6. FLIez is software for frequency-domain, full-field, fluorescence lifetime imaging, developed by Glen Redford at UIUC. 7. Flie is software for frequency-domain, full-field, fluorescence lifetime imaging, developed by Peter Schneider at MPIBPC. Implemented on a Sun UltraSPARC. 8. `FLOP97 `__ is software for frequency-domain, cuvette, fluorescence lifetime measurements, developed by Christoph Gohlke at MPIBPC. Implemented in LabVIEW. 9. `VistaVision `_ is commercial software for instrument control, data acquisition and data processing by ISS Inc (Champaign, IL). 10. `Vaa3D `_ is software for multi-dimensional data visualization and analysis, developed by the Hanchuan Peng group at the Allen Institute. 11. `Voxx `_ is a volume rendering program for 3D microscopy, developed by Jeff Clendenon et al. at the Indiana University. 12. `CCP4 `_, the Collaborative Computational Project No. 4, is software for macromolecular X-Ray crystallography. Examples -------- Create a Bio-Rad PIC file from a NumPy array: .. code-block:: python >>> data = numpy.arange(1000000).reshape((100, 100, 100)).astype('u1') >>> bioradpic_write(TEMP / '_biorad.pic', data) Read the volume data from the PIC file as NumPy array, and access metadata: .. code-block:: python >>> with BioradPic(TEMP / '_biorad.pic') as f: ... f.shape ... f.spacing ... data = f.asarray() ... (100, 100, 100) (1.0, 1.0, 1.0) Convert the PIC file to a compressed TIFF file: .. code-block:: python >>> with BioradPic(TEMP / '_biorad.pic') as f: ... f.totiff(TEMP / '_biorad.tif', compression='zlib') ...