Abstract
Differential Interference Contrast (DIC) microscopy is a non-destructive imaging modality that has been widely used by biologists to capture microscopy images of live biological specimens. However, as a qualitative technique, DIC microscopy records specimen’s physical properties in an indirect way by mapping the gradient of specimen’s optical path length (OPL) into the image intensity. In this paper, we propose to restore DIC microscopy images by quantitatively estimating specimen’s OPL from a collection of DIC images captured from multiple shear directions. We acquire the DIC images by rotating the specimen dish on the microscope stage and design an Iterative Closest Point algorithm to register the images. The shear directions of the image dataset are automatically estimated by our coarse-to-fine grid search algorithm. We develop a direct solver on a regularized quadratic cost function to restore DIC microscopy images. The restoration from multiple shear directions decreases the ambiguity among different individual restorations. The restored DIC images are directly proportional to specimen’s physical measurements, which is very amenable for microscopy image analysis such as cell segmentation.
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References
Arnison, M., Larkin, K.G., Sheppard, C.J.R., Smith, N.I., Cogswell, C.J.: Linear phase imaging using differential interference contrast microscopy. J. Microsc. 214, 7–12 (2003)
Arnison, M.R., Cogswell, C.J., Smith, N.I., Fekete, P.W., Larkin, K.G.: Using the hilbert transform for 3d visualization of differential interference contrast microscope images. J. Microsc. 199(1), 79–84 (2000)
Baraniuk, R.: Compressive sensing. IEEE Sig. Proc. Mag. 24(4), 118–121 (2007)
Besel, P., Mckay, N.: A method for registration of 3-d shapes. IEEE Trans. on Pattern Recognition and Machine Intelligence 14(2), 239–256 (1992)
Harris, C., Stephens, M.: A combined corner and edge detector. In: The 4th Alvey Vision Conference (1988)
Heise, B., Arminger, B.: Some aspects about quantitative reconstruction for differential interference contrast (dic) microscopy. In: ICIAM 2007 (2007)
Heise, B., Snnleitner, A., Klement, E.: Dic image reconstruction on large cell scans. Microscopy Research and Techniques 66, 312–320 (2005)
Kam, Z.: Microscopic differential interference contrast image processing by line integration (lid) and deconvolution. Bioimaging 6, 166–176 (1998)
King, S., Libertun, A., Piestun, R., Cogswell, C.: Quantitative phase microscopy through differential interference imaging. J. BioMed. Opt. 13, 24020 (2008)
Li, K., Kanade, T.: Nonnegative mixed-norm preconditioning for microscopy image segmentation. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 362–373. Springer, Heidelberg (2009)
Munster, E., Vliet, L., Aten, J.: Reconstruction of optical path length distributions from images obtained by a wide-field differential interference contrast microscope. J. Microsc. 188, 149–157 (1997)
Murphy, D.: Fundamentals of Light Microscopy and Electronic Imaging. Wiley, Chichester (2001)
Preza, C.: Rotational-diversity phase estimation from differential-interference-contrast microscopy images. J. of the Opt. Soc. of America A 17(3), 415–424 (2000)
Preza, C., Snyder, D., Conchello, J.A.: Theoretical development and experimental evaluation of imaging models for differential interference contrast microscopy. J. Opt. Soc. Am. A 16(9), 2185–2199 (1999)
Shribak, M., LaFountain, J., Biggs, D., Inoue, S.: Orientation-independent differential interference contrast (dic) microscopy and its combination with orientation-independent polarization system. J. Biomed. Opt. 13(1), 14011 (2008)
Yin, Z., Li, K., Kanade, T., Chen, M.: Understanding the optics to aid microscopy image segmentation. In: Jiang, T., Navab, N., Pluim, J.P.W., Viergever, M.A. (eds.) MICCAI 2010. LNCS, vol. 6361, pp. 209–217. Springer, Heidelberg (2010)
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Yin, Z., Ker, D.F.E., Kanade, T. (2011). Restoring DIC Microscopy Images from Multiple Shear Directions. In: Székely, G., Hahn, H.K. (eds) Information Processing in Medical Imaging. IPMI 2011. Lecture Notes in Computer Science, vol 6801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22092-0_32
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DOI: https://doi.org/10.1007/978-3-642-22092-0_32
Publisher Name: Springer, Berlin, Heidelberg
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