HIA - Hyperspectral Image Analysis
The HIA program was developed by Francesco Masia and Wolfgang
Langbein to analyze hyperspectral images, specifically for the
application to coherent anti-Stokes Raman microscopy.
References
The details of the implemented algorithms are described in the
following papers.
- Quantitative Chemical Imaging and Unsupervised Analysis
Using Hyperspectral Coherent Anti-Stokes Raman Scattering
Microscopy
F. Masia, A. Glen, P. Stephens, P. Borri, and W. Langbein, Anal.
Chem. 85, 10820 (2013). DOI
10.1021/ac402303g
- Sparse sampling for fast hyperspectral coherent anti-Stokes
Raman scattering imaging
F. Masia, P. Borri, and W. Langbein, Opt. Express 22, 4021
(2014). DOI
10.1364/OE.22.004021
- Hyperspectral image analysis for CARS, SRS, and Raman data
F. Masia, A.Karuna, P. Borri, and W. Langbein, J. Raman Spect.
46, 727 (2015) DOI
10.1002/jrs.4729
The program was used and further developed in the following
papers
- Hyperspectral and differential CARS microscopy for
quantitative chemical imaging in human adipocytes
C. Di Napoli, I. Pope, F. Masia, P. Watson, W. Langbein,
P. Borri, Biomedical Optics Express 5, 1378 (2014) DOI
10.1364/BOE.5.001378
- Hyperspectral volumetric coherent anti-Stokes Raman
scattering microscopy: Quantitative volume determination and
NaCl as non-resonant standard
A. Karuna, F. Masia, P. Borri, and W. Langbein, J. Raman Spect.
(2016) DOI
10.1002/jrs.4876
- Quantitative Spatiotemporal Chemical Profiling of
Individual Lipid Droplets by Hyperspectral CARS Microscopy in
Living Human Adipose-Derived Stem Cells
C. Di Napoli, I. Pope, F. Masia, W. Langbein, P. Watson, and P.
Borri Anal. Chem. (2016 DOI:
10.1021/acs.analchem.5b04468
- Bessel-beam hyperspectral CARS microscopy with sparse
sampling: Enabling high-content high-throughput label-free
quantitative chemical imaging
F. Masia, P. Watson, W. Langbein, and P. Borri
Anal. Chem. 90, 3775 (2018) DOI
10.1021/acs.analchem.7b04039
- Label-free quantitative chemical imaging and classication
analysis of adipogensis using mouse embryonic stem cells
F. Masia, A. Glen, P. Stephens, W. Langbein, and P. Borri
J. Biophotonics 11, e201700219 (2018) DOI
10.1002/jbio.201700219
- Hyperspectral Analysis Applied to Micro-Brillouin Maps of
Amyloid-Beta Plaques in Alzheimer’s Brain
F. Palombo, F. Masia, S. Mattana, F. Tamagnini, P. Borri, W.
Langbein, and D. Fioretto
Analyst 143, 6095 (2018) DOI
10.1039/c8an01291a
- Label-free volumetric quantitative imaging of the human
somatic cell division by hyperspectral coherent
anti-Stokes Raman scattering
A. Karuna, F. Masia, M. Wiltshire, R. Errington, P. Borri, and
W. Langbein
Anal. Chem. (2019) DOI
10.1021/acs.analchem.8b04706
- Dynamic label-free imaging of lipid droplets and their
link to fatty acid and pyruvate oxidation in mouse eggs
J. Bradley, I. Pope, W. Langbein, P. Borri, and K. Swann
J. Cell Science 132, jcs228999 (2019) DOI
10.1242/jcs.228999
- Quantitative Label-Free Imaging of Lipid Domains in Single
Bilayers by Hyperspectral Coherent Raman Scattering
A. Nahmad-Rohen, D. Regan, F. Masia, C. McPhee, I. Pope, W.
Langbein, and P. Borri\\
Anal. Chem. 92, 14657 (2020), DOI
10.1021/acs.analchem.0c03179
- Identifying subpopulations in multicellular systems by
quantitative chemical imaging using label-free hyperspectral
CARS microscopy
I. Pope, F. Masia, K. Ewan, A. Jimenez-Pascual, T.C. Dale, F.A.
Siebzehnrubl, P. Borri, and W. Langbein
Analyst 146, 2277 (2021), DOI
10.1039/D0AN02381G
- Quantification of the nonlinear susceptibility of the
hydrogen and deuterium stretch vibration for biomolecules in
coherent Raman micro-spectroscopy
D. Boorman, I. Pope, F. Masia, P. Watson, P. Borri, and W.
Langbein
J. Raman Spectr. 52, 1540 (2021), DOI
10.1002/jrs.6164
- Hyperspectral CARS microscopy and quantitative unsupervised
analysis of deuterated and non-deuterated fatty acid storage
in human cells
D. Boorman, I. Pope, F. Masia, W. Langbein, S. Hood, P. Borri,
and P. Watson
J. Chem. Phys. 155, 224202 (2021) DOI 10.1063/5.0065950
- uFLIM - Unsupervised analysis of FLIM-FRET microscopy data
F. Masia, W. Dewitte, P. Borri, and W. Langbein
arXiv
2102.11002, Medical Image Analysis 82, 102579
(2022) DOI
10.1016/j.media.2022.102579
- Low-energy electron microscopy intensity-voltage data –
factorization, sparse sampling, and classification
F. Masia, W. Langbein; S. Fischer, J-O. Krisponeit, J. Falta
arXiv
2203.12353, J. Microscopy 289, 91 (2023) DOI 10.1111/jmi.13155
Please acknowledge the usage of the HIA software and cite our
related publications.
Installing & Running the Hyperspectral Imaging Analysis
(HIA) software
- Download the version of HIA you want to use from the below
list (the latest version is recommended).
- Extract all the files in a folder.
- The file “HIA.chm” is a help file with the instructions to use
the program and the description of the functions.
- The software is written in MATLAB, compiled for Windows 7
64bit, and requires a MATLAB run-time compiler to be installed.
The specific compiler version is given in the help file of the
HIA version.
- The library "minilzo.dll" (from version 2.4), the java class
“DropTargetList.class”, the "bioformats.package.jar" (from
version 2.3) and the parallel computing profile “HIA.settings”
must be in the same folder as the executable.
- From version 2.5, to open the Andor data *.sif, it requires
the installation of the Andor Matlab SIF i/o toolbox (AndorMatlabSIFIOSetup-2.102.30000.0).
The installation folder must be the Runtime compiler folder, for
example YourDrive\Program Files\MATLAB\MATLAB Runtime\v91.
Choose installation for 64 bit matlab when asked
- To run the software, launch the batch file “run HIA.bat”. This
will open a cmd window which can show any MATLAB error occurred
during the analysis. Please use this feature to identify and
report bugs.
- Examples of Raman and CARS analysis are available, see links
below in the different versions.
Versions
- Version 2.6 coming soon
- 01/12/2020
- Utility to compare two FSC3 results
- 25/02/2017
- 16/12/2016
- 24/03/2016
- 23/09/2015
- 29/06/2015
- 30/04/2015
Francesco Masia & Wolfgang
Langbein, 04/05/2015, updated 29/06/2015, 23/09/2015, 31/03/2016,
16/12/2016, 04/04/2023