AOTF based molecular hyperspectral imaging system and its applications on nerve morphometry

Applied Optics

Volumn 52, Issue 17, 2013, Pages 3891-3901

  Li, Qingli ^a,b   Xu, Dongrong ^b   He, Xiaofu ^b   Wang, Yiting ^a   Chen, Zenggan ^c   Liu, Hongying ^a   Xu, Qintong ^c   Guo, Fangmin ^a  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b Columbia University ^*  (United States)

^c FUDAN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CELL MEMBRANES; FIBERS; IMAGE SEGMENTATION; IMAGING SYSTEMS; MOLECULAR IMAGING; SPECTROSCOPY;

ACOUSTO-OPTIC TUNABLE FILTERS; CORRECTION COEFFICIENTS; HISTOLOGICAL SECTION; ITS APPLICATIONS; MORPHOLOGICAL PARAMETERS; SPECTRAL INFORMATION; SPECTRAL KERNELS; SPECTRAL RESPONSE;

HYPERSPECTRAL IMAGING;

ANIMAL; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; EQUIPMENT; EQUIPMENT DESIGN; EQUIPMENT FAILURE; EVALUATION STUDY; ILLUMINATION; IMAGE ENHANCEMENT; IN VITRO STUDY; MICROSCOPY; RABBIT; REPRODUCIBILITY; SCIATIC NERVE; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; DEVICE FAILURE ANALYSIS; DEVICES;

ANIMALS; EQUIPMENT DESIGN; EQUIPMENT FAILURE ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LIGHTING; MICROSCOPY; RABBITS; REPRODUCIBILITY OF RESULTS; SCIATIC NERVE; SENSITIVITY AND SPECIFICITY; IN VITRO TECHNIQUES;

EID: 84879194641     PISSN: 1559128X     EISSN: 15394522     Source Type: Journal    
DOI: 10.1364/AO.52.003891     Document Type: Article

References (38)

1. S. C. Marx, P. Kumar, S. Dhalapathy, K. Prasad, and C. A. Marx, "Microanatomical and immunohistochemical study of the human lateral antebrachial cutaneous nerve of forearm at the antecubital fossa and its clinical implications," Clin. Anat. 23, 693-701 (2010).
2. X. M. Zhao, Z. K. Pan, J. Y. Wu, G. M. Zhou, and Y. J. Zeng, "Automatic identification and morphometry of optic nerve fibers in electron microscopy images," Comput. Med. Imaging Graph. 34, 179-184 (2010).
3. E. Romero, O. Cuisenaire, J. F. Denef, J. Delbeke, B. Macq, and C. Veraart, "Automatic morphometry of nerve histological sections," J. Neurosci. Methods 97, 111-122 (2000).
4. S. A. R. Campos, L. S. Sanada, K. L. Sato, and V. P. S. Fazan, "Morphometry of saphenous nerve in young rats," J. Neurosci. Methods 168, 8-14 (2008).
5. F. Urso-Baiarda and A. O. Grobbelaar, "Practical nerve morphometry," J. Neurosci. Methods 156, 333-341 (2006).
6. G. Lauria, D. Cazzato, C. Porretta-Serapiglia, J. Casanova- Molla, M. Taiana, P. Penza, R. Lombardi, C. G. Faber, and I. S. J. Merkies, "Morphometry of dermal nerve fibers in human skin," Neurology 77, 242-249 (2011).
7. A. F. H. Goetz and V. Srivastava, "Mineralogical mapping in the Cuprite mining district, Nevada," in Proceedings of the Airborne Imaging Spectrometer Data Analysis Workshop (JPL, 1985), pp. 22-29.
8. A. F. H. Goetz, G. Vane, J. E. Solomon, and B. N. Rock, "Imaging spectrometry for earth remote sensing," Science 228, 1147-1153 (1985).
9. A. F. H. Goetz, "Three decades of hyperspectral remote sensing of the earth: a personal view," Rem. Sensing Environ. 113, S5-S16 (2009).
10. J. Qin, "Hyperspectral imaging instruments," in Hyperspectral Imaging for Food Quality Analysis and Control, S. Professor Da-Wen, ed. (Academic, 2010), pp. 129-172.
11. P. J. Treado, I. W. Levin, and E. Neil Lewis, "Indium antimonide (InSb) focal plane array (FPA) detection for near-infrared imaging microscopy," Appl. Spectrosc. 48, 607-615 (1994).
12. H. R. Morris, C. C. Hoyt, and P. J. Treado, "Imaging spectrometers for fluorescence and Raman microscopy - acoustooptic and liquid-crystal tunable filters," Appl. Spectrosc. 48, 857-866 (1994).
13. E. S. Wachman, W. H. Niu, and D. L. Farkas, "AOTF microscope for imaging with increased speed and spectral versatility," Biophys. J. 73, 1215-1222 (1997).
14. R. D. Shonat, E. S. Wachman, W. H. Niu, A. P. Koretsky, and D. L. Farkas, "Near-simultaneous hemoglobin saturation and oxygen tension maps in mouse brain using an AOTF microscope," Biophys. J. 73, 1223-1231 (1997).
15. P. M. Kasili and T. Vo-Dinh, "Hyperspectral imaging system using acousto-optic tunable filter for flow cytometry applications," Cytom. A 69A, 835-841 (2006).
16. Y. N. Guan, Q. L. Li, Y. T. Wang, H. Y. Liu, and Z. Q. Zhu, "Pathological leucocyte segmentation algorithm based on hyperspectral imaging technique," Opt. Eng. 51, 053202 (2012).
17. H. Y. Liu, Q. L. Li, L. Xu, Y. T. Wang, J. G. Liu, and Y. Q. Xue, "Evaluation of erythropoietin efficacy on diabetic retinopathy based on molecular hyperspectral imaging (MHSI) system," J. Infrared Millimeter Waves 31, 248-253 (2012).
18. S. J. Leavesley, N. Annamdevula, J. Boni, S. Stocker, K. Grant, B. Troyanovsky, T. C. Rich, and D. F. Alvarez, "Hyperspectral imaging microscopy for identification and quantitative analysis of fluorescently-labeled cells in highly autofluorescent tissue," J. Biophotonics 5, 67-84 (2012).
19. H. Wang, S. D. Babacan, and K. Sayood, "Lossless hyperspectral- image compression using context-based conditional average," IEEE Trans. Geosci. Remote Sens. 45, 4187-4193 (2007).
20. E. S. Wachman, W. H. Niu, and D. L. Farkas, "Imaging acousto-optic tunable filter with 0.35-micrometer spatial resolution," Appl. Opt. 35, 5220-5226 (1996).
21. Q. Li, J. Zhang, Y. Wang, and G. Xu, "Molecular spectral imaging system for quantitative immunohistochemical analysis of early diabetic retinopathy," Appl. Spectrosc. 63, 1336-1342 (2009).
22. A. Plaza, P. Martinez, J. Plaza, and R. Perez, "Spatial/spectral analysis of hyperspectral image data," in 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data (IEEE, 2004), pp. 298-307.
23. L. Zhang, X. Huang, B. Huang, and P. Li, "A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery," IEEE Trans. Geosci. Remote Sens. 44, 2950-2961 (2006).
24. L. Jun, J. M. Bioucas-Dias, and A. Plaza, "Spectral and spatial hyperspectral image segmentation using subspace multinomial logistic regression and Markov random fields," IEEE Trans. Geosci. Remote Sens. 50, 809-823 (2012).
25. B. Yver and R.Marion, "A theoretical framework for hyperspectral anomaly detection using spectral and spatial a priori information," IEEE Geosci. Remote Sens. Lett. 4, 436-440 (2007).
26. A. J. Plaza, "Parallel spatial-spectral processing of hyperspectral images," in Computational Intelligence for Remote Sensing, M. Grana and R. J. Duro, eds. (Springer-Verlag Berlin Heidelberg, 2008), pp. 163-192.
27. M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using SVMs and morphological profiles," IEEE Trans. Geosci. Remote Sens. 46, 3804-3814 (2008).
28. M. Fauvel, J. Chanussot, and J. A. Benediktsson, "A spatialspectral kernel-based approach for the classification of remote-sensing images," Pattern Recogn. 45, 381-392 (2012).
29. K. Bernard, Y. Tarabalka, J. Angulo, J. Chanussot, and J. A. Benediktsson, "Spectral-spatial classification of hyperspectral data based on a stochastic minimum spanning forest approach," IEEE Trans. Image Process. 21, 2008-2021 (2012).
30. M. Fauvel, J. Chanussot, and J. A. Benediktsson, "Evaluation of kernels for multiclass classification of hyperspectral remote sensing data," in IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE, 2006), pp. 813-816.
31. J. Astola, P. Haavisto, and Y. Neuvo, "Vector median filters," Proc. IEEE 78, 678-689 (1990).
32. C. Vleggeert-Lankamp, R. J. van den Berg, H. K. P. Feirabend, E. Lakke, M. J. A. Malessy, and R. Thomeer, "Electrophysiology and morphometry of the A alpha- and A beta-fiber populations in the normal and regenerating rat sciatic nerve," Exp. Neurol. 187, 337-349 (2004).
33. F. Ying-Lun, J. C. K. Chan, and R. T. Chin, "Automated analysis of nerve-cell images using active contour models," IEEE Trans. Med. Imaging 15, 353-368 (1996).
34. Q. Li, Z. Chen, X. He, Y. Wang, H. Liu, and Q. Xu, "Automatic identification and quantitative morphometry of unstained spinal nerve using molecular hyperspectral imaging technology," Neurochem. Int. 61, 1375-1384 (2012).
35. H. L. More, J. Chen, E. Gibson, J. M. Donelan, and M. F. Beg, "A semi-automated method for identifying and measuring myelinated nerve fibers in scanning electron microscope images," J. Neurosci. Methods 201, 149-158 (2011).
36. D. A. Hunter, A. Moradzadeh, E. L. Whitlock, M. J. Brenner, T. A. Myckatyn, C. H.Wei, T. H. H. Tung, and S. E. Mackinnon, "Binary imaging analysis for comprehensive quantitative histomorphometry of peripheral nerve," J. Neurosci. Methods 166, 116-124 (2007).
37. A. P. D. da Silva, C. E. R. Jordao, and V. P. S. Fazan, "Peripheral nerve morphometry: comparison between manual and semi-automated methods in the analysis of a small nerve," J. Neurosci. Methods 159, 153-157 (2007).
38. B. Weyn, M. Van Remoortere, R. Nuydens, T. Meert, and G. van de Wouwer, "A multiparametric assay for quantitative nerve regeneration evaluation," J. Microsc. 219, 95-101 (2005).