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Literature Resources About Spectrometers

Spectrometer Design, Diffraction Gratings and Calibration

  • Compact prism spectrographs based on aplanatic principles; David W. Warren, John A. Hackwell,  David J. Gutierrez;  Opt. Eng. 36(4), 1174-1182 (1997)
  • Spectral Imaging with a Prism-based Spectrometer; Lerner, J.M, (2000). Special Publications of the Royal Society of Chemistry. 254, pp.53-63
  • Diffraction Gratings; Hutley, M.C. 1982. .Academic Press, London.
  • The Design of Optical Spectrometers; James, J. and Sternberg, R. 1969.  Chapman & Hall, London.
  • Calibration and validation of confocal spectral imaging systems; Lerner JM, Zucker RM.  Cytometry A 2004;62:8–34.
  • Imaging spectrometer fundamentals for researchers in the biosciences: A tutorial. Cytometry; Lerner, J.M. 2006.  A 69:712-734.
  • Approaches to Spectral Imaging Hardware; Lerner JM, Gat N, Wachman E. (2010) Curr Protoc Cytom. Jul;Chapter 12:Unit 12.20.
  • The Optics of Spectroscopy: A Tutorial; Lerner, J. and Thevenon, A. 1998. Horiba,Metuchen, New Jersey.
  • Flat-field imaging spectroscopy using aberration corrected holographic gratings; Lerner JM, Chambers RJ, Passereau G,  Proc SPIE; 1981:268; 122–128.
  • Diffraction Gratings and Applications; Loewen, E. and Popov, E. 1997.  Marcel Dekker, New York. (Link for the Richardson Lab “Diffraction Grating Handbook”)
  • Diffraction Grating Handbook, 5th ed; C. Palmer (ed.),  Spectra Physics (Richardson Grating Laboratory), Rochester, 2002Diffraction gratings (in English); Stroke, G.W. 1967.  In Handbuch der Physik XXIX (S. Flugge, ed.),vol. 29. Springer-Verlag, Berlin. (Comprehensive grating theory)
  • Direct reading spectrometer optimization using two complementary concave holographic gratings; Lerner, JM; Flamand, J.; Thevenon, A, (1984).  Proc. SPIE. 503
  • Ion-etching as a means of blazing and optimizing holographic diffraction gratings; Lerner, J.M; Thevenon, A, (1982).  Proc. SPIE. 353, pp.
  • Aberration corrected holographically recorded diffraction gratings; Lerner, JM; Flamand, J.; Laude, JP; Passereau, G.; Thevenon, A, (1981).  Proc. SPIE. 240, pp.72-81

Spectral imaging algorithms

  • Spectral Un-mixing; Nirmal Keshava and John F. Mustard (2002), IEEE Signal Processing Magazine,
  • Hyperspectral Un-mixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches; José M. Bioucas-Dias, Antonio Plaza, Nicolas Dobigeo, Mario Parente, QianDu, Paul Gader, and Jocelyn Chanussot (2012)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 5, (2)
  • A Survey of Spectral Un-mixing Algorithms; Nirmal Keshava (2003). Lincoln Laboratory Journal, volume 14, (1)
  • Chemometrics in Spectroscopy; Howard Mark, Jerry Workman (2007).  Academic Press
  • Spectroscopy and Hybrid Neural Network Analysis: T. Lu, J. Lerner, 1996, Proc IEEE,  Volume:84, (6), pp 895 – 905
  • Hyperspectral image analysis with a hybrid neural net; Lerner, J.M, Lu, T, and Shnitser, P, (1996).  In: M.B. Denton, R.E. Fields, Q. Hanley (ed), Recent Developments in Scientific Optical Imaging. 1st ed. Cambridge, UK: The Royal Society of Chemistry. pp.210-216.
  • Cross Correlation: Describing Random Sequences; Chapter 6.7, Oliver Hinton, University of Newcastle Upon Tyne “EEE305”, “EEE801 Part A”: Digital Signal Processing, (apparently undated)
  • Enhanced Measurement of Testosterone by GC-MS Utilizing a Neural Network: Lu, T.; Lerner, J.M; Fitzgerald, RL; Herold, CD, (1994).  Proc. J Am Soc Mass Spectrom. 5 (5), pp.628