Fiji

Fiji provides an extensible platform for biological image analysis by integrating ImageJ with plugins, macros, and scripting to quantify subcellular structures such as F-actin.


Key Features:

  • ImageJ integration: Integrates ImageJ with a collection of plugins to extend image-processing and analysis functionality.
  • Macro-based line-intensity measurement: Implements a macro that measures staining intensity along an automatically drawn line across a cell.
  • Equal-bin quantification: Divides line intensity data into equal bins to enable consistent comparisons across cells of different sizes and shapes.
  • Morphology-independent quantification: Produces measurements that are independent of variations in cell size or shape.
  • Batch processing of image sets: Processes image sets to rapidly acquire final quantitative data.
  • Libraries and scripting: Leverages powerful libraries and various scripting languages for algorithm prototyping.
  • Plugin conversion: Supports converting prototyped algorithms into ImageJ plugins for reuse.

Scientific Applications:

  • F-actin distribution analysis: Quantitative analysis of F-actin distribution within cells independent of cell morphology.
  • Actin disruption studies: Analysis of F-actin staining in cells treated with cytochalasin D to assess actin disruption.
  • Cell behavior quantification: Image-based quantitative studies of cellular processes such as differentiation, proliferation, and migration.

Methodology:

Uses an ImageJ macro to measure staining intensity along an automatically drawn line across cells, divides measurements into equal bins, processes image sets for rapid data acquisition, and employs libraries and various scripting languages to prototype algorithms and convert them into ImageJ plugins.

Topics

Details

Maturity:
Mature
Cost:
Free of charge
Programming Languages:
Java
Added:
1/14/2020
Last Updated:
11/24/2024

Operations

Publications

Zonderland J, Wieringa P, Moroni L. A quantitative method to analyse F-actin distribution in cells. MethodsX. 2019;6:2562-2569. doi:10.1016/j.mex.2019.10.018. PMID:31763187. PMCID:PMC6861648.

PMID: 31763187
PMCID: PMC6861648
Funding: - European Research Council: 637308

Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez J, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. Fiji: an open-source platform for biological-image analysis. Nature Methods. 2012;9(7):676-682. doi:10.1038/nmeth.2019. PMID:22743772. PMCID:PMC3855844.