Low-Dosage Maximum-A-Posteriori Focusing and Stigmation

Abstract Radiation damage is often an issue during high-resolution imaging, making low-dose focusing and stigmation essential, in particular when no part of the sample can be “sacrificed” for this. An example is serial block-face electron microscopy, where the imaging resolution must be kept optimal during automated acquisition that can last months. Here, we present an algorithm, which we call “Maximum-A-Posteriori Focusing and Stigmation (MAPFoSt),” that was designed to make optimal use of the available signal. We show that MAPFoSt outperforms the built-in focusing algorithm of a commercial scanning electron microscope even at a tenfold reduced total dose. MAPFoSt estimates multiple aberration modes (focus and the two astigmatism coefficients) using just two test images taken at different focus settings. Using an incident electron dose density of 2,500 electrons/pixel and a signal-to-noise ratio of about one, all three coefficients could be estimated to within <7% of the depth of focus, using 19 detected secondary electrons per pixel. A generalization to higher-order aberrations and to other forms of imaging in both two and three dimensions appears possible.

[1]  W. Denk,et al.  Staining and embedding the whole mouse brain for electron microscopy , 2012, Nature Methods.

[2]  H. G. ter Morsche,et al.  A Derivative-Based Fast Autofocus Method in Electron Microscopy , 2011, Journal of Mathematical Imaging and Vision.

[3]  Jean Dolne Cramer-Rao Lower Bound for Passive and Active Imaging Systems , 2011 .

[4]  Kevin L. Briggman,et al.  Wiring specificity in the direction-selectivity circuit of the retina , 2011, Nature.

[5]  Tony Wilson,et al.  Image-based adaptive optics for two-photon microscopy. , 2009, Optics letters.

[6]  T. Wilson,et al.  Adaptive optics for structured illumination microscopy. , 2008, Optics express.

[7]  Manuel Guizar-Sicairos,et al.  Efficient subpixel image registration algorithms. , 2008, Optics letters.

[8]  Martin J. Booth,et al.  Image-based wavefront sensorless adaptive optics , 2007, SPIE Optical Engineering + Applications.

[9]  Martin J Booth,et al.  Image based adaptive optics through optimisation of low spatial frequencies. , 2007, Optics express.

[10]  T. Fusco,et al.  Calibration and precompensation of noncommon path aberrations for extreme adaptive optics. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[11]  W. Denk,et al.  Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure , 2004, PLoS biology.

[12]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[13]  J. H. Deville,et al.  Practical issues in wave-front sensing by use of phase diversity. , 2003, Applied optics.

[14]  B. Dean,et al.  Diversity selection for phase-diverse phase retrieval. , 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

[15]  John W Sedat,et al.  Phase retrieval for high-numerical-aperture optical systems. , 2003, Optics letters.

[16]  L. Mugnier,et al.  Calibration of NAOS and CONICA static aberrations - Application of the phase diversity technique , 2003 .

[17]  N. Baba,et al.  An auto-tuning method for focusing and astigmatism correction in HAADF-STEM, based on the image contrast transfer function. , 2001, Journal of electron microscopy.

[18]  Wilson,et al.  New modal wave-front sensor: a theoretical analysis , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[19]  L M Mugnier,et al.  Noise propagation in wave-front sensing with phase diversity. , 1999, Applied optics.

[20]  Michael C. Roggemann,et al.  Cramér–Rao analysis of phase-diverse wave-front sensing , 1999 .

[21]  K. Onoguchi,et al.  Automatic Focusing and Astigmatism Correction Method based on Fourier Transform of Scanning Electron Microscope Images , 1999 .

[22]  K. Balasubramaniam,et al.  Nineteenth NSO/SP International Workshop on High‐Resolution Solar Physics:Theory, Observations, and Techniques , 1999 .

[23]  Goeran B. Scharmer Object-Independent Fast Phase-Diversity , 1999 .

[24]  John T. L. Thong,et al.  A robust focusing and astigmatism correction method for the scanning electron microscope—Part III: An improved technique , 1998 .

[25]  Fred Nicolls,et al.  Use of a general imaging model to achieve predictive autofocus in the scanning electron microscope , 1997 .

[26]  Mats G. Lofdahl,et al.  Wavefront sensing and image restoration from focused and defocused solar images. , 1994 .

[27]  James R. Fienup,et al.  Joint estimation of object and aberrations by using phase diversity , 1992 .

[28]  George Apostolakis,et al.  Decision theory , 1986 .

[29]  M. Vorontsov,et al.  The principles of adaptive optics , 1985 .

[30]  Robert A. Gonsalves,et al.  Phase Retrieval And Diversity In Adaptive Optics , 1982 .

[31]  J. W. Tukey,et al.  The Measurement of Power Spectra from the Point of View of Communications Engineering , 1958 .