Theoretical Background Challenges and Significance

Slides:



Advertisements
Similar presentations
Chapter 4 Companion site for Light and Video Microscopy Author: Wayne.
Advertisements

MIT 2.71/2.710 Optics 11/08/04 wk10-a- 1 Today Imaging with coherent light Coherent image formation –space domain description: impulse response –spatial.
IPC Friedrich-Schiller-Universität Jena Contrast modes in light microscopy: Bright field.
Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. 1 The Dark-Field Microscope Image is formed by light reflected.
POWERPOINT PRESENTATION ON POLARISED MICROSCOPE
Multicolor Imaging of Mouse Oocytes Robert J. Crooker, Judith A. Newmark and Carol M. Warner Center for Subsurface Sensing and Imaging Systems and Department.
Overview from last week Optical systems act as linear shift-invariant (LSI) filters (we have not yet seen why) Analysis tool for LSI filters: Fourier transform.
Microscopy Boot Camp /08/25 Nikitchenko Maxim Baktash Babadi.
Millimeter Wave Sensor: An Overview
The Improved 3D Matlab_based FDFD Model and Its Application Qiuzhao Dong(NU), Carey Rapapport(NU) (contact: This.
Red: “ordinary” glass Orange: Quarter wave plate Nanometer Optical Imaging of Fluorescent Dyes Matthew Johns and Rolfe Petschek Dept of Physics CWRU
Apertureless Scanning Near-field Optical Microscopy: a comparison between homodyne and heterodyne approaches Journal Club Presentation – March 26 th, 2007.
BF DICDFPh Introduction to optical microscopy. Contrast techniques in optical microscopy Introduction to optical microscopy Some basic optics Properties.
MSN 510 Imaging Techniques in Materials Science and Nanotechnology
Atomic Force Microscopy Studies of Gold Thin Films
Superresolving Phase Filters J. McOrist, M. Sharma, C. Sheppard.
Nanoparticle Polarizability Determination Using Coherent Confocal Microscopy Brynmor J. Davis and P. Scott Carney University of Illinois at Urbana-Champaign.
Theory & Appl. Light Microscopy Phase Contrast Optics.
Media Cybernetics Deconvolution Approaches and Challenges Jonathan Girroir
Lecture 14 Images Chapter 34 Geometrical Optics Fermats Principle -Law of reflection -Law of Refraction Plane Mirrors and Spherical Mirrors Spherical refracting.
September 2003 Chuck DiMarzio, Northeastern University Introduction Charles A. DiMarzio GEU110 Northeastern University.
Nano-Electronics S. Mohajerzadeh University of Tehran.
Photo-Thermal Coherent Confocal Microscope This work is supported in part by the Center for Subsurface Sensing and Imaging Systems, under the Engineering.
Confocal Reflectance Theta Line-Scanner for Intra-operative Imaging Confocal Reflectance Theta Line-Scanner for Intra-operative Imaging Peter J. Dwyer*,
Separable functions University of Illinois at Chicago ECE 427, Dr. D. Erricolo University of Illinois at Chicago ECE 427, Dr. D. Erricolo A function of.
The above shows the implementation of the software used to interface with the data acquisition hardware. Inputs for each encoder and the APD detector were.
Quantitative Phase Amplitude Microscopy of Three Dimensional Objects C.J. Bellair §,+, C.L. Curl #, B.E.Allman*, P.J.Harris #, A. Roberts §, L.M.D.Delbridge.
10/17/97Optical Diffraction Tomography1 A.J. Devaney Department of Electrical Engineering Northeastern University Boston, MA USA
Multi-Spectral Reflectance Confocal Microscopy on Skin Tianchen Shi, Prof. Charles A. DiMarzio Department of Electrical and Computer Engineering, Northeastern.
Sherman Braganza, Miriam Leeser, W.C. Warger II, C.M. Warner, C. A. DiMarzio Goal Accelerate the performance of the.
Biophotonics lecture 9. November Last time (Monday 7. November)  Review of Fourier Transforms (will be repeated in part today)  Contrast enhancing.
Abstract Present imaging techniques used in in vitro fertilization (IVF) clinics are unable to produce accurate cell counts in developing embryos past.
October 21, 2005A.J. Devaney IMA Lecture1 Introduction to Wavefield Imaging and Inverse Scattering Anthony J. Devaney Department of Electrical and Computer.
Scatterfield Zero Order Imaging
IPC Friedrich-Schiller-Universität Jena 1 From Wednesday, 9 November 2011 the weekly lectures will be every Wednesday, 8:30 Humboldtstr. 8, Seminar Room.
INVASIVE MICROWAVE MEASUREMENT OF SOIL ELECTROMAGNETIC PROPERTIES AND CORRELATION WITH PHYSICAL QUANTITIES K. Clay, M. Farid, A. N. Alshawabkeh, C. M.
Phase Congruency Detects Corners and Edges Peter Kovesi School of Computer Science & Software Engineering The University of Western Australia.
Using Multi-Element Detectors to Create Optimal Apertures in Confocal Microscopy This work was supported in part by CenSSIS, the Center for Subsurface.
Basic Microscopy – An Overview – October 2005 Protistology Course MBL, Woods Hole, MA.
Optical Holography Martin Janda, Ivo Hanák Introduction Wave Optics Principles Optical holograms Optical Holography Martin Janda, Ivo Hanák Introduction.
Contrast Microscopy Koehler Illumination Dark Field Phase Contrast Differential Interference Contrast Hoffman Modulation.
Confocal Laser Scanning Microscopy: general considerations and techniques Simone Bossi.
Electromagnetic Waves
Imaging HIFU Lesions Using Ultrasound Andrew Draudt and Robin Cleveland Department of Aerospace and Mechanical Engineering, Boston University, Boston,
Quantitative Analysis of Mitochondrial Tubulation Using 3D Imaging Saritha Dwarakapuram*, Badrinath Roysam*, Gang Lin*, Kasturi Mitra§ Department of Electrical.
Brightfield Contrasting Techniques Kurt Thorn Nikon Imaging Center University of California, San Francisco USA.
1 Dr. Paul KONKUK UNIVERSITY DEPT. OF ENVIRONMENTAL ENGINEERING INTRODUCTION TO MICROBIOLOGY LABORATORY.
Phase contrast and DIC Gerd A. Guenther 2011 Honorable Mention Nikon Small World photomicrograhy competition Image of a freshwater ciliate. Ryan McGorty,
Brightfield Contrasting Techniques Kurt Thorn NIC.
Fresnel diffraction formulae
Two-Beam Interference
Gradient Light Interference Microscopy (GLIM)
Ground Penetrating Radar using Electromagnetic Models
3.3 Other types of microscopy
Introduction to Diffraction Tomography
Modern imaging techniques in biology
HyperSpectral Skin Imaging Tianchen Shi, Prof. Charles A. DiMarzio
Point Detector Aperture
Young’s double slit experiment & Spatial coherence of light
Chapter 36 In Chapter 35, we saw how light beams passing through different slits can interfere with each other and how a beam after passing through a single.
Biologists’ Tools and Technology Notes
Light Fields in Ray and Wave Optics
Young’s double slit experiment & Spatial coherence of light
ساختمان فیزیکی الیاف دکتر مصطفی یوسفی
Choosing Mesh Spacings and Mesh Dimensions for Wave Optics Simulation
LIGHT MICROSCOPY variations
Scalar theory of diffraction
Scalar theory of diffraction
ECE-1466 Modern Optics Course Notes Part 8
Fig. 2. The structure of a binocular depth perception system1.
Presentation transcript:

Theoretical Background Challenges and Significance Three-dimensional Model for DIC Images Heidy Sierra, Charles A. DiMarzio and Dana Brooks Department of Electrical and Computer Engineering, The Center for Subsurface Sensing and Imaging Systems (CenSSIS), Northeastern University, Boston, MA XZ image Binary phase object Abstract Theoretical Background z x Differential Interference Contrast (DIC) is a form of interference microscopy that uses polarizers and prisms to create an image with a shadow relief, this relief reflects the gradient of the optical path difference. Differential Interference Contrast (DIC) microscopy is a useful tool used to visualize and study live biological cells. However object characteristics and qualitative observations can limit quantitative analysis. There is a three-dimensional model for DIC images based in the Born approximation. This model relies on three-dimensional convolution. The model has some limitations when thick objects are imaged. This work develops a theoretical model which consists of the product of two-dimensional convolution along the optical axis instead of three-dimensional convolution. Experiments using simulated data with this model show results similar to real images. xy image Two dimensional DIC point spread function, [1]: R is the amplitude ratio between the two waves k(x,y) is the transmitted light under coherent illumination. is the shear and the bias retardation and z is the depth. Product of 2-D convolutions model for three dimensional images model: Z=30 xy image at plane z= 30 xy image Glass bead images Extension of the imaging model to 3-D XZ image State of the Art dz PSF describing the system z axis Object DIC optics description can be found in the literature [1, 2]. However the list of references involving mathematical theory work is short. The most recent work is presented [3]. Two-dimensional models in the frequency domain for coherent illumination has been extended to partially coherent illumination and the optical system is based on the theory of image formation in partially coherent light for transmitted light optics described by Born and Wolf. Similarly the complex amplitude of the illumination wave field is propagated under Kohler illumination through a thin specimen and the optical system. Our model show a good behavior in synthetic data simulating r thick objects. dz=0.5 dx=0.5 dx=0.5 References C. Preza, D. L. Snyder, J.-A.Conchello. “Theoretical development and experimental evaluation of imaging models fordifferential-interferencecontrastmicroscopy”, JOSA A, Vo. 16, No. 9, 2185-2199 (1999). Kagalwa,Farhan;Kanade, Takeo,” Reconstructing Specimens Using DIC Microscope Images”, IEEE Trans. On Signal Processing, vol. 33, No. 5, October 2003. S. F. Gibson and F. Lanni. “Diffraction by a Circular Aperture as a Model for Three-dimensional Optical Microscopy”. J. Opt. Soc. Am. A, 6 (9):1357-1367, September 1989. [1]. [2]. [3]. References Challenges and Significance Simulations This work involves the developing of a three-dimensional model which considers imaging transparent objects and specimens with constant phase gradient. This looks like a simple model which can be implemented, but is still a good representation of the image and can be useful to apply inversion techniques and extended to others system like Optical Quadrature Microscopy. Simulation were done with synthetic data, for binary phase objects considering plane with constant phase. Also simulation were done with glass bead. Images show agreement with real data. Optical Science Laboratory Acknowledgement: This work was supported in part by CenSSIS, the Center for Subsurface Sensing and Imaging Systems, under the Engineering Research Centers Program of the National Science Foundation (Award Number EEC 9986821).