Lecture 4 The Principles of Confocal Microscopy: Components of the microscope. BMS 524 - “Introduction to Confocal Microscopy and Image Analysis” 1.

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Lecture 4 The Principles of Confocal Microscopy: Components of the microscope. BMS 524 - “Introduction to Confocal Microscopy and Image Analysis” 1 Credit course offered by Purdue University Department of Basic Medical Sciences, School of Veterinary Medicine J.Paul Robinson, Ph.D. Professor of Immunopharmacology Director, Purdue University Cytometry Laboratories These slides are intended for use in a lecture series. Copies of the graphics are distributed and students encouraged to take their notes on these graphics. The intent is to have the student NOT try to reproduce the figures, but to LISTEN and UNDERSTAND the material. All material copyright J.Paul Robinson unless otherwise stated, however, the material may be freely used for lectures, tutorials and workshops. It may not be used for any commercial purpose. The text for this course is Pawley “Introduction to Confocal Microscopy”, Plenum Press, 2nd Ed. A number of the ideas and figures in these lecture notes are taken from this text. UPDATED February 1, 2000

Overview Components of a confocal microscope system Optical pathways Optical resolution - Airy disk Other components

Benefits of Confocal Microscopy Reduced blurring of the image from light scattering Increased effective resolution Improved signal to noise ratio Clear examination of thick specimens Z-axis scanning Depth perception in Z-sectioned images Magnification can be adjusted electronically

Fluorescent Microscope Arc Lamp Fluorescent Microscope Excitation Diaphragm Excitation Filter Ocular Objective Emission Filter

Confocal Principle Laser Excitation Pinhole Excitation Filter PMT Objective Emission Filter Emission Pinhole

Fluorescent Microscope Confocal Microscope Arc Lamp Laser Excitation Diaphragm Excitation Pinhole Excitation Filter Excitation Filter Ocular PMT Objective Objective Emission Filter Emission Filter Emission Pinhole

MRC 1024 System UV Laser Optical Mixer Kr-Ar Laser Scanhead Microscope

Bio-Rad MRC 1024

MRC 1024 System Light Path PMT

Optical Mixer - MRC 1024 UV Fast Shutter Argon Laser 353,361 nm Visible Filter Wheels UV Correction Optics Argon- Krypton Laser 488, 514 nm 488,568,647 nm Beam Expander To Scanhead

MRC 1024 Scanhead 2 3 Emission Filter Wheel From Laser PMT 1 Galvanometers To and from Scope

From Scanhead To Scanhead

Scanning Galvanometers Point Scanning x y Laser out To Microscope Laser in

The Scan Path of the Laser Beam 767, 1023, 1279 Start Specimen 511, 1023 Frames/Sec # Lines 1 512 2 256 4 128 8 64 16 32

How a Confocal Image is Formed Condenser Lens Pinhole 1 Pinhole 2 Objective Specimen Detector Modified from: Handbook of Biological Confocal Microscopy. J.B.Pawley, Plennum Press, 1989

Fundamental Limitations of Confocal Microscopy From Source To Detector . x,y,z 2 n2 photons 2 1 n1 photons 1 z y x PIXEL VOXEL From: Handbook of Biological Confocal Microscopy. J.B.Pawley, Plennum Press, 1989

Optical Resolution Gray Level Pixelation

Gray Level & Pixelation Analogous to intensity range For computer images each pixel is assigned a value. If the image is 8 bit, there are 28 or 256 levels of intensity If the image is 10 bit there are 1024 levels, 12 bit 4096 levels etc. The intensity analogue of a pixel is its grey level which shows up as brightness. The display will determine the possible resolution since on a TV screen, the image can only be displayed based upon the number of elements in the display. Of course, it is not possible to increase the resolution of an image by attributing more “pixels” to it than were collected in the original collection!

Pixels Pixels & image structure Hardcopy usually compromises pixel representation. With 20/20 vision you can distinguish dots 1 arc second apart (300 m at 1 m) so 300 DPS on a page is fine. So at 100 m, you could use dots 300 mm in size and get the same effect! Thus an image need only be parsimonius, i.e., it only needs to show what is necessary to provide the expected image.

Pixels T

320x240 x 24 Zoom x 4 The final image appears to be very “boxy” this is known as “pixilation”. Zoom x 2 Magnifying with inadequate information. This is known as “empty magnification” because there are insufficient data points. Zoom x 8

Socrates?….well perhaps not... 180x200x8 (288,000) 1X 361x400x8 (1,155,200) 2x Magnifying with adequate information. Here, the original image was collected with many more pixels - so the magnified image looks better! 541x600x8 (2,596,800) 1.5x)

320x240 x 24 Originals collected at high resolution - compared to a low resolution image magnified 1500x1125x24

Sampling Theory The Nyquist Theorem Nyquest theory describes the sampling frequency (f) required to represent the true identity of the sample. i.e., how many times must you sample an image to know that your sample truly represents the image? In other words to capture the periodic components of frequency f in a signal we need to sample at least 2f times Nyquist claimed that the rate was 2f. It has been determined that in reality the rate is 2.3f - in essence you must sample at least 2 times the highest frequency. For example in audio, to capture the 22 kHz in the digitized signal, we need to sample at least 44.1 kHz

Raman Scattering At an excitation line of 488 nm, Raman scatter will be at 584 nm or less with increased concentration of protein, etc. Is directly proportional to the power of the laser light.

Digital Zoom Note that we have reduced the field of view of the sample 1 x 1024 points 2 x 4 x Note that we have reduced the field of view of the sample Note #2: There will only be a single zoom value where optimal resolution can be collected.

Reflection Imaging Backscattered light imaging Same wavelength as excitation Advantages: no photobleaching since not using a photo-probe (note: does not mean no possible damage to specimen) Problems: optical reflections from components of microscope

Reflected light images CD-ROM pits Collagen

Issues for good confocal imaging Axial Resolution Must determine the FWHM (full width half maximum) intensity values of a vertical section of beads Field Flatness Must be able to collect a flat field image over a specimen - or z-axis information will be inaccurate Chromatic Aberration must test across an entire field that emission is constant and not collecting radial or tangential artifacts due to chromatic aberration in objectives Z-drive precision and accuracy must be able to reproducibily measure distance through a specimen - tenths of microns will make a big difference over 50 microns

SUMMARY SLIDE Components of a confocal system Optical pathways Optical resolution Sampling rate (Nyquist Theorem)