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September 2003 Chuck DiMarzio, Northeastern University 10379-5-1
An Example
Charles A. DiMarzio
GEU110
Northeastern University
September 2003 Chuck DiMarzio, Northeastern University 10379-5-2
The Design Process
NeedsAssessment
ProblemFormulation
Abstractionand Synthesis
Analysis
Implementation Ch. 2
3, 4, 5
6,7
8,9,10
11
• Remember these phases are not absolute
• The edges are rough• We often use multiple
loops• Usually we don’t think
about the process at all• It’s best taught by
examples
September 2003 Chuck DiMarzio, Northeastern University 10379-5-3
Optical Components of Pre-Implantation Embryos
Mitochondria
~ 1.5 µm x 0.5 µm x 0.5 µm
Nuclear Membrane
Cell Membrane ≤ 100 nm
Nucleus ~10 µm dimension
Nn = 1.39
Cell Body Nc = 1.37
• ~105 Mitocondria per cell
• (0.5µm2X1.5 / 100 µm3 ) x 105 = 4% by volume
•Volume of each cell ~100 µm3
September 2003 Chuck DiMarzio, Northeastern University 10379-5-4
Taxonomy of 3DFM Microscopy TechniquesDIC TPLSMQTM RCM LSCM
3DFM
Staring Scanning
September 2003 Chuck DiMarzio, Northeastern University 10379-5-5
Three Biological ModelsMouse Oocytes and Embryos
Zebrafish Neural Stem Cells
Melanoma and Non-Melanoma Skin Cancers
100m Objects 1cm Objects10-100m Cells 5-50m Cells
QTM, DIC, Some Fluorescence Confocal, A Little 2-Photon
Reflectance Confocal, Some Hyperspectral
Fluorescence Confocal
Existing Work:
September 2003 Chuck DiMarzio, Northeastern University 10379-5-6
E:\images\02.10.17\blastocyst1
Embryonic Stem (ES) Cells
2-cell 8-cell
Morula (16-cell)
Blastocyst
Skin Blood
Bone
Cardiac muscleNeurons
Other
The Embryo-Stem Cell CircleConcepts and Graphics by Carol Warner and Judy Newmark, Northeastern.Biology
Zygote
Oocyte
DIC
DIC
September 2003 Chuck DiMarzio, Northeastern University 10379-5-7
α1-tubulin/GFP expressing transgenic zebrafish larva
M. Beverly & I. Zhdanova, unpublished data transgenic line courtesy of D. Goldman; U. Mich. in Transgenic Research 10:21-33, 2001.
Olfactory Placodes
lefteye
right eye
nose
forebrain
Thanks to Don O’Malley Northeastern.Biology
September 2003 Chuck DiMarzio, Northeastern University 10379-5-8
Skin Cancer Geometries
keratinocytes(RCM, 2h)
melanocytes(RCM)
collagen (2h, SHG, RCM) andelastin (SHG, RCM)
StratumCorneum,5-10m
Epidermis,50-100m
Dermis,few mm
Basal cell cancer (RCM)
Thanks to Milind Rajadhyaksha Northeastern
September 2003 Chuck DiMarzio, Northeastern University 10379-5-9
Some Questions About Embryos• Where are the
mitochondria?• Multi-Cell: How
many cells in the Inner Cell Mass?
September 2003 Chuck DiMarzio, Northeastern University 10379-5-10
Fluorescence Confocal Images
• Plan to Do Full Z, Other Scanning Modes, and Fuse with Staring Modes
young healthy egg old unhealthy egg
Thanks to Judy Newmark, Northeastern Biology
September 2003 Chuck DiMarzio, Northeastern University 10379-5-11
Mitochondrial DistributionsAggregatedUniformly Distributed
September 2003 Chuck DiMarzio, Northeastern University 10379-5-12
Multi-Cell Embryo
-8
8
100 200 300 400 500 600
50
100
150
200
250
300
350
400
450
Differential InterferenceContrast
QTM UnwrappedPhase, Radians
0
50
100
150
200
250
8
-8
September 2003 Chuck DiMarzio, Northeastern University 10379-5-13
Confocal Microscopy
PolygonalMirrorScanner
GalvoScanner
Laser
Sample
Detector
September 2003 Chuck DiMarzio, Northeastern University 10379-5-14
Mitochondrial Distribution Data Requirements
• Biology goal is to determine whether mitochondria are perinuclear, uniformly distributed, or aggregated.
• Therefore we want to determine either;– Statistical Properties; Size distribution of
clumps vs. individual mitochondria, (Per 10m Voxel), or
– Spatial distribution of mitochondria in an image to derive the above
September 2003 Chuck DiMarzio, Northeastern University 10379-5-15
Mitochondrial Distribution Measurement (1)
• Fluorescence Confocal with Mitotracker Green FM– Proven Technique – Have 2-D data, may be able to get z stacks
• Reflectance Confocal– Have two 3-D data sets at 1 m lateral by 3 m axial resolution
with images spaced 3 m apart in the axial direction– Problems are speckle (average speckle size and mitochondria are
both equal to lateral resolution) and clutter from other organelles
• QTM– Probably best detected by examining diffraction– Need to figure out how to scan (need a model)
September 2003 Chuck DiMarzio, Northeastern University 10379-5-16
Mitochondrial Distribution Measurement (2)
• 2h– Coming when 3DFM is assembled
– Use Mitotracker CMXRos at 1156 Excitation
– or NADH at 730
– Processing same as Fluorescence Confocal
– Probably biggest problem will be low SNR (quantum noise)
September 2003 Chuck DiMarzio, Northeastern University 10379-5-17
Cell Counting Data Requirements
• Biology rationale is that the growth rate of cells in the inner cell mass (ICM) is an indication of health of the embryo
• Therefore we want to count the cells in the inner cell mass, from 1 through 64.
• Note: counting Nuclei is easier– Boundaries between cells are not well defined
in the inner cell mass and thus harder to detect.
September 2003 Chuck DiMarzio, Northeastern University 10379-5-18
Cell Counting Approaches
• Fluorescence Confocal with Hoechst Dye and UV Excitation to count the nuclei– Limited data avalable
• Reflectance Confocal to count nucleii– May validate Fluorescence, but edges of nucleii are not
sharp
• QTM to actually count the cell bodies– Data available and we can collect more
• Can do z stacks, but need to know how to scan
– Later can do tomographic imaging
September 2003 Chuck DiMarzio, Northeastern University 10379-5-19
3DFM Layout
September 2003 Chuck DiMarzio, Northeastern University 10379-5-20
Components and ConnectionsTungsten 633
630
636
Hg
QTM
Rcvr
4xGrabobj
ill
tube
Safety Sw
x-yScanner
APD
532 TiSap
488/etc
780
PMT
PMT SetCooled Cam
z scan
Optical CxComputerInterface
Eyepiece
September 2003 Chuck DiMarzio, Northeastern University 10379-5-21
3DFM Fabrication Timeline
Table, 22 Sept
Ti:Sapphire Laser, 25 Oct Scanner 8 NovMicroscope 15 Dec(Demo Shown Below)
September 2003 Chuck DiMarzio, Northeastern University 10379-5-22
Status of the Keck 3DFM
qtm
dic
2h
rcmfcm
Thanks to Gustavo Herrera, Northeastern ECE
September 2003 Chuck DiMarzio, Northeastern University 10379-5-23
The Team
• Biology– Warner, Newmark, O’Malley, Rajadhyaksha
• Hardware Engineering– DiMarzio, Rajadhayksha, Townsend, Katkar, Herrera
• Phantoms– Rockward, Quarles, Thomas
• Models– Rappaport, Morgenthaler, Dunn, DiMarzio, Hollman
• Computation– Kaeli, Meleis
• Signal Processing– Brooks, Miller, Karl, McKnight, Smith
September 2003 Chuck DiMarzio, Northeastern University 10379-5-24
Who Do We Need?
• Good Engineers– Electrical
• E/M and Optics
• Controls
• Computers
– Mechanical
• Good Biologists• Good Bio-Engineers?
Bio-Imaging of Embryos
Biology
Imaging