Quantitative Imaging Using imaging to investigate atomic occasions in living cells Ann Cowan
Slide 2FUNCTION OF MICROSCOPY Function of any microscopy is NOT just to amplify! Capacity of the magnifying instrument is to RESOLVE fine detail.
Slide 3Magnification makes objects greater Magnification
Slide 4Magnification in the magnifying instrument is not impeccable; the amplified picture is obscured by diffraction Magnification
Slide 5RESOLUTION implies items can be viewed as independent articles Resolution
Slide 6RESOLUTION l d N.A. The determination of a magnifying instrument is the most limited separation two focuses can be isolated and still be seen as 2 focuses. Not determined simply determined Well determined MORE IMPORTANT THAN MAGNIFICATION !!
Slide 7How to show signs of improvement determination? Picture plane Objective focal point example
Slide 8example How to show signs of improvement determination? Picture plane Objective focal point
Slide 9example How to show signs of improvement determination? Picture plane Objective focal point
Slide 10WHAT DETERMES RESOLUTION? Differentiation is important to distinguish detail (edges) from foundation Diffraction on a very basic level breaking points determination diffraction happens at the target focal point gap
Slide 11IMAGE OF A SELF-LUMINOUS POINT IN THE MICROSCOPE greatest First least Light from every purpose of the question is spread out in the magnifying instrument since light diffracts at the edges of the focal point = Airy Disk Objective focal point
Slide 12RAYLEIGH CRITERION Generally acknowledged basis of determination Single point sourcce Just determined Just determined Wel determined Intensity Central most extreme of one pinnacle overlies 1 st least of neighboring pinnacle
Slide 13What decides the separation between Peaks? Objective θ example The most extreme edge of light gathered by the goal focal point. Bigger edge of accumulation = Better determination
Slide 14Maximum edge of light gathered from a point decides width of Airy Disk q example Objective focal point Image plane Min remove between focuses: wavelength refractive list λ d sin q n Numerical Aperture (N.A.) = n sin q
Slide 15Resolution accordingly is given by: l d N.A. To lessen d , and in this way accomplish better determination: wavelength N.A. Light magnifying lens: greatest N.A. is 1.4, for noticeable (e.g. green light), = 500 nm hence best determination is 0.2 um. Valuable amplification is constrained to 500-1000 X N.A., so around 1,000 X
Slide 16Contrast is required to see objects Increasing Contrast light from a protest should either be diverse in power or shading (= wavelength) from the foundation light
Slide 17Airy Disk
Slide 18AIRY DISK
Slide 19AIRY DISK 255 INTENSITY 0 Z-POSITION
Slide 20AIRY DISK 255 INTENSITY 0 Z-POSITION
Slide 21AIRY DISK 255 INTENSITY 0 Z-POSITION
Slide 22PSF Z
Slide 23Z psf
Slide 24FWHM Z-POSITION INTENSITY Z determination Z Resolution characterized as FWHM = the full width at half maximal force of a z line of a point hotspot For 1.4 N.A. focal point, Z determination ~ .5 um By Nyquist hypothesis, need to gather at 0.25 um Z steps
Slide 25 NA 4 mag 2 OBJECTIVE LENS Resolution Intensity > remedies Intensity (For epiflourescence; for transmission it is NA 2 of target time NA 2 of condenser)
Slide 26Digital Images Are Arrays of Numbers Value at every point is the measure of light gather from every point in a picture 2-D Image gets to be exhibit of force qualities (dark levels) from 0 - 255 (for 8 bit picture) or 0-4,126 for 12 bit picture. Every point in the exhibit is a pixel
Slide 27How CCD cameras Make a picture Figure 1. The pixels of a CCD gather light and change over it into parcels of electrical charge Figure 2. The charges are immediately moved over the chip. Figure 3. The charges are then cleared off the CCD and changed over to simple electrical driving forces, which are then measured as computerized numerical qualities.
Slide 28RGB (shading ) IMAGE Display Red channel Green channel Blue channel
Slide 29VOXELS ARE 3D PIXELS 2-D Image gets to be cluster of power qualities (dim levels) from 0 - 255 (for 8 bit picture) or 0-4,126 for 12 bit picture. Every point in the cluster is a pixel For progressive Z segment, 2D exhibits are stacked into 3D varieties of qualities, every component is known as a "voxel"
Slide 30DIGITAL IMAGE MANIPUTATIONS (controlling varieties of numbers in important ways) Frame averaging (time averaging on CCD) 2 + =
Slide 31DIGITAL IMAGE MANIPUTATIONS Output esteem Input esteem LUT (controlling varieties of numbers in significant routes) look into table (LUT) controls e.g. differentiate extending
Slide 32DIGITAL IMAGE MANIPUTATIONS (controlling varieties of numbers in significant ways) picture math e.g. proportion imaging =
Slide 33Image upgrade
Slide 34Original picture improved picture foundation picture upgraded - foundation picture outline arrived at the midpoint of upgraded - foundation
Slide 35FLUORESCENCE MICROSCOPY
Slide 36FLOURESCENCE Excited Energy States E Ground State lifetime t
Slide 37Stokes Shift
Slide 38EPIFLUORESCENCE First boundary channel Second hindrance channel dichroic reflect target focal point example
Slide 39Flourescence identification is straight and can be utilized to measure relative or supreme measures of particles If conditions are indistinguishable, 2X fluorescence = 2X amt of fluorophore Because light in the magnifying lens is spread out by diffraction, conditions inside and between pictures are not generally indistinguishable. Similarly as with any estimation, should be cautious with estimations Must be inside direct scope of finder (no 0's, not above most extreme level) Must subtract foundation (by and large sans cell range) ALL conditions in magnifying lens must be indistinguishable
Slide 40Fluorescent Ion Indicators Fluorescence properties change when particular particle is bound. For instance: fura-2 in low Ca 2+ excitation greatest at 360nm fura-2 in high Ca 2+ excitation most extreme at 340nm proportion of fluorescence power at the two wavelengths is a measure of the convergence of Ca 2+.
Slide 41Calcium-subordinate Excitation Spectra of FURA-2
Slide 43Image Math Bkgd redressed picture 340ex Cell with 340ex Bkgd with 340ex _ = Cell with 360ex Bkgd with 360ex Bkgd revised picture 360ex _ =
Slide 44Image Math Bkgd adjusted picture 340ex Ratio picture (340/360) Bkgd amended picture 360ex
Slide 46Dual Wavelength Ratios are Independent of the Amount of Fluorescent Indicator Ratioing takes out fading and color spillage antiques and along these lines are delicate just to the centralization of analyte
Slide 47Dual Wavelength Ratios Normalize for Variable Thickness inside a Sample (e.g. a cell under a magnifying instrument)
Slide 48Courtesy of Billy Tedford and John Carson
Slide 49TOTAL INTERNAL REFLECTION FLUORESCENCE (TIRF)
Slide 50TIRF energizes fluorescence just inside a restricted locale beside the substrate
Slide 51CONFOCAL MICROSCOPY
Slide 52Diffracted light is spread out in Z and additionally x and y. x,z plane x,y plane
Slide 53coverslip example slide Conventional enlightenment Point checking light
Slide 54CONFOCAL MICROSCOPY photomultiplier Imaging opening lighting up gap dichroic in-center beams Out-of-center beams target focal point central plane
Slide 55Photomultipliers change over photons into a corresponding current
Slide 56Widefield Fluorescence Confocal White et al. 1987. J. Cell Biol. 105: 41-48
Slide 57X = 128 t = 0 Y = 128 t = 0.25 sec Scan Time Issues Typical output rate 1s/filter 512X512 t = 0 X = 512 Y = 512 t = 1 sec
Slide 58Scan Time Issues Two sweep sorts: 1. Unidirectional Bidirectional 2. Bidirectional checking can have speed restrictions and arrangement prerequisites
Slide 59Digital Zoom 10 X 8 = 80 focuses How near one another would we be able to filter?
Slide 60Sampling Theory The Nyquist Theorem portrays the examining recurrence ( f ) required to speak to the genuine character of the example. i.e., how near one another would it be a good idea for you to test a picture to realize that your example genuinely speaks to the picture? To catch the intermittent parts of recurrence f in a flag we have to test no less than 2 f times basically you should test at 2 times the most elevated recurrence .
Slide 61Sampling Theory Sample at = recurrence of picture determination Sample at ½ recurrence of picture determination
Slide 62Sampling Theory Using 1.4 N.A. focal point, max determination is 0.2 um To get 0.2 um determination in the last picture, you should test at 0.2/2 = .1 um/pixel. Over examining (< 0.1 um/pixel) causes all the more fading and phototoxicty with no expansion in determination. It can likewise bring about issues in measuring fluorescence pictures. Examining in Z works by a similar standard. Test at 1/2 x the z determination characterized by the focal point and confocal opening size.
Slide 63ANALYZING DYNAMIC EVENTS WITH FLUORESCENCE MICROSCOPY (THE "F" TECHNIQUES)
Slide 64FLUORESCENCE REDISTRIBUTION AFTER PHOTOBLEACHING (FRAP)
Slide 65Fluorescence Redistribution
Slide 66Fluorescence Redistribution
Slide 67NO DIFFUSION BLEACH INITIAL INTENSITY DIFFUSION INTENSITY POSITION INTENSITY POSITION FLUORESCENCE REDISTRIBUTION AFTER PHOTOBLEACHING
Slide 68Photobleaching of cytoplasmic segments Images are gathered each 0.345 s
Slide 69Photobleaching of cytoplasmic parts Methods for breaking down the information begin with a proper model of the science
Slide 70"FLIP" Method: Repetitive dye and redistribution cycles, where development of fluorescent test out of unbleached area is investigated. Utilizes: Best strategy to dissect restricting rates, has been utilized to mark off rates of layer restricting proteins, for example, rac. Utilized additionally to gauge congruity inside/between cell compartments
Slide 71Fluorescence Loss After Photobleaching
Slide 72Photoactivatable GFP
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