Microscopia holografica digital sin lentes y aplicaciones.
The recovery of the amplitude and phase of an electromagnetic wave scattered by an object, is a unique opportunity offered by holography (Gabor, 1948, 1949, 1951). Holography is a twosteps imaging technique. In the first stage, called recording, the interference pattern between an object wave, that carries the information of the object, and a reference wave, whose amplitude and phase is known, is stored. From this intensity recording, named hologram, the complex amplitude of the object wave can be recovered, in the second stage of holography named reconstruction. While the recording process of the hologram can be modeled as a superposition in amplitude of the object and reference wave, the reconstruction process can be understood as the diffraction suffered by a known in the hologram, also understood this latter as a diffraction grating. This understanding, combined with the possibility of handling digital information of the recorded hologram (Goodman & Lawrence, 1967), opened a new spectrum of opportunities for holography and marked the genesis of what is known today as digital holography (Goodman & Lawrence, 1967; Schnars, 1994). The digital world allowed the visualization and quantification of the amplitude and phase of the reconstructed wave, it also provided holography a new set of tools which meant an additional spectrum of possibilities for the versatility that provides the digital component. For example, it was possible to remove the limitations that made Gabor's in-line architecture unattractive, reviving interest in this simple, but robust geometry for making holography (Fink et al., 1991; GarciaSucerquia et al., 2006b).
The world of digital holography eliminated the need of the chemical processing the holographic plates in which interference patterns were registered, and from where the information of the object of interest was recovered. The price paid for this feature was the reduced quality of the recovered images plagued by speckle noise (Garcia-Sucerquia et al., 2006a), and by the need to magnify the interference patterns in order to enable its recording in the digital cameras available in the market (Kreis, 2002). Off-axis geometries with maximum angle of three degrees between the reference and object (Schnars, 1994; Picart & Leval, 2008), systems using magnification of interference patterns (Cuche et al., 1999), or onaxis configurations in which the magnification of the interference pattern is accomplished by illuminating the sample with a spherical wave and propagation in free space (Barton, 1988; Fink et al., 1991; Kreuzer et al., 1995; Garcia-Sucerquia et al., 2006b), were the option to make the digital approach to holography a reality. This latter option was the genesis of a lensless microscopy technique, initially known by the name of digital in-line holographic microscopy (GarciaSucerquia et al., 2006b) and now known as digital lensless holographic microscopy (DLHM). This article summaries the principles and some of the applications that DLHM offers in the study of the microworld.
This section describes the basics of DLHM and its resolution power from an wave analysis of the problem.
2.1 Fundamentals of DLHM
DLHM is a lensless methodology of imaging in two stages: i) recording and ii) reconstruction (Garcia-Sucerquia et al., 2006b; Jericho & Kreuzer, 2011). To accomplish the recording the sample is illuminated with spherical waves to ensure the magnification of the diffraction pattern by the free space propagation and make possible the recording in a commercial digital camera. To generate the spherical waves, a monochromatic light source, usually a laser with wavelength [lambda], is focused down onto a pinhole with a diameter of the order of X. In this way, the sample located at a z distance from the pinhole, is illuminated by highly coherent spherical waves. The portion of the waves weakly scattered by the sample, known as object wave, interferes on the surface of the digital sensor, either a camera CMOS (complementary metal-oxide semiconductor) or CCD (charge-coupled device), with the portion of the waves not scattered, called reference wave.
The digital sensor is positioned so that its center is at a distance L from the pinhole. The recorded intensity by the digital sensor, called in-line hologram, it is transferred to a PC for its further processing. In Figure 1 the recording pro-cess of DLHM is illustrated.
The in-line hologram can be written as the superposition in amplitude of the object wave and the reference wave [U.sub.ref] (r)
I(r) = [[absolute value of [U.sub.scat](r)].sup.2] + [[absolute value of [U.sub.ref](r)].sup.2] + [[U.sub.scat](r)[U.sup.*.sub.ref](r) + [U.sup.*.sub.scat](r)[U.sub.ref](r)]. (1)
According to equation (1), the intensity recorded by th e digital camera includes the terms of the zero diffraction order [[absolute value of [U.sub.scat](r)].sup.2] + [[absolute value of [U.sub.ref](r)].sup.2], which made impractical Gabor's invention (Gabor, 1948). DLHM overcomes this di-fficulty by a pixel wise subtracting the irradiance of the reference wave, corresponding to the intensity recorded in the DLHM without the sample, from the intensity presented in equation (1). If additionally it is considered that the intensity of the wave scattered by the object is negligible, a new hologram, called contrast hologram with the following form is obtained:
[??](r) = [[U.sub.scat](r)[U.sup.*.sub.ref](r) + [U.sup.*.sub.scat](r)[U.sub.ref](r)] (2)
This intensity distribution contains information about the object and reference wave in their form of twin images (Goodman, 2005), which do not present any problem in the process of reconstructing contrast holograms, as it has been shown in several publications (Garcia-Sucerquia et al., 2006b; Jericho & Kreuzer, 2011; Garcia-Sucerquia, 2013).
In the reconstruction stage, the object wave which carries the sample information is retrieved by numerical calculation of the diffraction process that the reference wave undergoes when it illuminates the contrast hologram. Because in DLHM the reference wave is spherical, this process can be described mathematically by the Kirchhoff-Helmholtz transform (Barton, 1988; Garcia-Sucerquia et al., 2006b; Jericho & Kreuzer, 2011):
U(r') = [[integral].sub.[sigma]][??](r)exp[ik(r'.r/[absolute value of r])][d.sup.2]r (3)
In equation (3) the integral extends over the surface of th e screen [sigma], camera CCD or CMOS, with coordinates r = (x,y,L), k=2[pi]/[lambda] is the wavenumber; [??](r) is the contrast hologram; and r = (x',y',[z.sub.r]) are the coordinates in the plane of reconstruction. U(r') is a complex quantity that can be computed at different distances of reconstruction zr from the pinhole; this option allows the retrieving the three-dimensional information of the sample o equivalently the wave scattered by the sample in different planes. This operation is completely performed numerically by processing a two-dimensional contrast hologram with M x N pixels of DLHM. The contrast hologram is interpolated in a spherical type grid with pixels with [DELTA]x",[DELTA]y" size. A new modified hologram [??]"(m[DELTA]x", n[DELTA]y"), which accounts for the propagation distance z, is introduced in the discretized version of equation (3) to produce (Jericho & Kreuzer, 2011;
[mathematical expression not reproducible] (4)
According with equation (4), the complex amplitude of the object wave can be computed as circular convolution by means of three fast Fourier transforms. In equation (4) the size of the coordinates of the reconstruction plane can be chosen with no dependence of the reconstruction distance, the wavelength and the size of the hologram. This feature the re construction algorithm, is essential in DLHM to adjust the size of the recording and reconstruction to the magnification produced by the spherical illumination of the sample. The reconstruction process applied to the hologram sent to the computer in Figure 1 produces the image shown in Figure 2 (A). The profile along the straight line drawn over the reconstruction image in panel (A) it is shown in panel (B). From this profile one can observed that DLHM can reach spatial resolution in the micrometer range, with no need of lenses at all. The quality of the reconstructed image allows the clear visualization of the hexagonal packing of the polystyrene spheres of 1.09 [micron]m in diameter that were utilized in this experiment.
2.2 Lateral resolution in DLHM
In this section, a criterion based on the geometrical parameters of the microscope to evaluate the lateral resolution of DLHM is derived; the criterion is demonstrated by means of computer modeling. For simplicity it is considered that the digital screen is placed perpendicular to the optical axis, which links the point source (pinhole) and the center of the digital camera. The object wave is produced by two point objects symmetrically located with respect to the optical axis and connected with a straight line parallel to the digital camera; if each point object is denoted by a position vector it can be said that [absolute value of [r.sub.1]] = [absolute value of [r.sub.2]]. The contrast hologram can be written as:
[??](r) = 4[U.sub.0][U.sub.1]/r[absolute value of r-[r.sub.1]]cos[[pi]/[lambda](2r-[absolute value of r-[r.sub.1]] -[absolute value of r-[r.sub.2]])]cos[[pi]/[lambda]([absolute value of r-[r.sub.1]]-[absolute value of r-[r.sub.2]])] (5)
The second cosine term produces a modulation of the hologram reaching its maximum when its argument equals to 2[pi]n, with n an integer. To recover the information stored in the contrast hologram, it is need to guarantee that at least the first zero and the first maximum of the diffraction patterns is recorded in the digital camera. Under the former premise, it can be shown that two points can be laterally resolved if it is fulfilled the condition (Garcia-Sucerquia et al., 2006b):
[absolute value of [r.sub.1]-[r.sub.2]] [greater than or equal to][lambda]/2NA (6)
with NA the numerical aperture of the microscope defined as NA = w/2([square root of ([(W/2).sup.2]+l[L.sup.2])]), with W the width of the digital camera.
In Figure 3A is shown a modeled hologram produced by two points 1 [micron]m apart. The hologram was recorded with a blue laser and 0.5 numerical aperture. The reconstruction of the hologram should exhibit two separated points, as it is clearly presented in Figure 3B. If now the numerical aperture is reduced, namely it is only considered the inner part of the hologram in Figure 3A reducing the numerical aperture to 0.28, the micrometer sized spatial resolution is no longer reach, as illustrated in Figure 3C.
3. Results and discussion
In this section two applications of DLHM are presented. The use of light sources with partial spatial coherence is shown to image a biological specimen and static and dynamic colloidal systems.
3.1 DLHM with light sources with partial spatial coherence to study biological samples
To implement DLHM with a light source which has partial spatial coherence, the light from a superbright LED was focused down onto the surface of a pinhole with diameter [d.sub.p]. The incoherent blue LED has a mean wavelength [bar.[lambda]]=450 nm and a FWHM of 25 nm which allows the recording of in-line holograms of samples up to 8 |im thick. The partial coherence of the light over the sample is determined by the Van Cittert-Zernike theorem (Born & Wolf, 2005) what stablish that the diameter of the area almost coherently illuminated is given by [D.sub.coh] = 0.32[bar.[lambda]]z/[d.sub.p], where z is the distance from the pinhole to the sample. In this way, for a fixed pinhole-sample distance the spatial coherence of the light source can be changed by the simple variation of the pinhole diameter [d.sub.p]. A complementary discussion on the effect of the spatial partial coherence in DLHM can be read for instance in Gopinathan et al. (2008).
To make experiments with spatial partial coherence in DLHM a section of the head of a fruit fly prepared with Bodians method (Bodian, 1936) was imaged. The simple is of the order of 900 [micron]m in width and has thickness of 5 |im. The panels in Figure 4 show the reconstructed images as the spatial coherence of the illuminating light is changed over the sample. The diameter that is almost coherently illuminated ([D.sub.coh]) is changed from 6.2 [micron]m for panel A to 115 [micron]m for panel E, see figure caption for the other parameters; panel F is the reconstructed image as the hologram is recorded with a completely coherent light source. This latter image was obtained by means of a violet laser [lambda]=405 nm illuminating a pinhole 0.5 [micron]m in diameter. For panels A and B, the low spatial coherence of the light source leads to reconstructed images where the overall shape of the simple is visible, but few details of the internal structure are seen, namely, the spatial resolution of the microscope has been reduced due to the widening of the point spread function of it (Gopinathan et al., 2008). As the spatial coherence is increased over the plane of the simple, it can be seen a larger number of the internal details of the specimen and the edges of the simple are sharper, see panels C, D y E. Panels D, E and F show a comparable spatial resolution of the spatial partial coherent DLHM with that of fully coherent DLHM, however the former shows a better signal-to-noise ratio (SNR) than the fully spatial coherence DLHM.
3.2 Study of dynamic and static colloidal systems
One of the fields of great application of DLHM is the study of colloidal systems, both dynamic and static. To perform this study, 20 [micron]l of a solution of polystyrene spheres 800nm in diameter 20%vol were diluted in distilled water over a cover slide previously prepared. The continue observation of the drying process of the solution allows the recovering of information of process like nucleation, aggregation and adhesion of the spheres to the substrate. The frame in Figure 5 was extracted from a video which was monitored the drying process of the solution above described. The wavy form of gray color, is an indication of the dewetting front over the substrate. The circular regions show groups of spheres which also contain some debris trapped in the water. For this particular experiment an average speed of 140 [micron]m/s was measure for the dewetting front in the left-side to right-side (Alvarez-Palacio & Garcia-Sucerquia, 2010).
The arrows on the profile indicate the direction of the dewetting front.
Once the water has been completely evaporated, it is possible to visualize the shape of the selfarrangement of the spheres over the surface of the substrate. In Figure 6 (A) it is shown the reconstructed image corresponding to a monolayer of spheres of polystyrene 800nm in diameter. In this experiment a 532nm laser was focused down over a pinhole of 500nm of diameter. The digital camera was placed such that the numerical aperture of the DLHM was 0.6 (Garcia-Sucerquia et al., 2006b). That numerical aperture and illuminating wavelength lead to a theoretical spatial resolution for the DLHM of [DELTA]r[aproximadamente igual a][lambda]/2NA= 444nm. Such spatial resolution is enough to have a clear visualization of groups of the spheres, in the same way makes possible the identification of the hexagonal packing that follows the spheres. The spatial resolution of DLHM has evolved up to the level that defect and dislocations in the structure of the arrangement of the spheres can be identified (Garcia-Sucerquia et al., 2008). In addition to the study of the monolayers in the real space, DLHM allows the study of the monolayers in the Fourier space. Figure 6 (B) shows the Fourier transform of the image in panel (A). In this transform, the hexagonal packing that follows the spheres is clearly verified. A complete and fully detailed description of the use of DLHM to study dynamic and static colloidal systems can be read in (Alvarez-Palacio & Garcia-Sucerquia, 2010).
The fundamentals of digital lensless holographic microscopy (DLHM) and some applications to study micrometer sized samples were shown. A description of the recording and reconstruction processes of in-line digital holograms is also presented. For the reconstruction stage, it is presented a method of reconstruction with variable magnification for making possible the recovering of details in the micrometer sized scale of the simple under study.
The spatial resolution of DLHM and the effects of the partial spatial coherence in the performance of DLHM have been also presented. The use of DLHM in the study of dynamic and static colloidal systems has been presented. The illustrated results invite to use DLHM in diverse fields of research and technology. Micrometer sized spatial resolution with the use of no lenses and utilizing LED light sources, set the DLHM as a promising method to develop portable microscopes.
The author thanks to Universidad Nacional de Colombia, through the Programa de Internacionalizacion del Co-nocimiento and the program Jovenes Investigadores de Colciencias-Universidad Nacional de Colombia code Hermes 28751.
Alvarez-Palacio, D.C., & Garcia-Sucerquia, J. (2010). Lensless microscopy technique for static and dynamic colloidal systems. Journal of Colloid and Interface Science 349 (2), 637-640.
Barton, J.J. (1988). Photoelectron Holography. Physical Review Letters 61 (12), 1356-1359.
Bodian, D. (1936). A new method for staining nerve fibers and nerve endings in mounted paraffin sections. The Anatomical Record 65 (1), 89-97.
Born, M., & Wolf, E. (2005). Principles of Optics. 7th ed. Cambridge-UK: Cambridge University Press.
Cuche, E., Bevilacqua, F., & Depeursinge, C. (1999). Digital holography for quantitative phasecontrast imaging. Opt. Lett. 24 (5), 291-293.
Fink, H.-W., Schmid, H., Kreuzer, H., & Wierzbicki, A. (1991). Atomic resolution in lensless low-energy electron holography. Physical Review Letters 67 (12), 1543-1546.
Gabor, D. (1948). A new microscopic principle. Nature 161 (4098), 777-778.
Gabor, D. (1949). Microscopy by reconstructed wave-fronts. Proc. R. Soc. London A 197 (1051), 454.
Gabor, D. (1951). Microscopy by reconstructed wave fronts: II. Proc. Phys. Soc. London B 64 (6), 449.
Garcia-Sucerquia, J. (2013). Noise reduction in digital lensless holographic microscopy by engineering the light from a light-emitting diode. Applied Optics 52 (1), A232-A239.
Garcia-Sucerquia, J., Alvarez-Palacio, D.C., & Kreuzer, H.J. (2008). High resolution Talbot selfimaging applied to structural characterization of selfassembled monolayers of microspheres. Appl. Opt. 47 (26), 4723-4728.
Garcia-Sucerquia, J., Ramirez, J.H., Castaneda, R., Herrera-Ramirez, J., & Castaneda, R. (2006a). Incoherent recovering of the spatial resolution in digital holography. Optics Communications 260 (1), 62-67.
Garcia-Sucerquia, J., Trujillo, C., & Restrepo Agudelo, J. (2014). Microscopio holografico digital sin lentes (MHDSL) y metodo para visualizar muestras. Patent Filed 1425894300.
Garcia-Sucerquia, J., Xu, W., Jericho, S.K., Klages, P., Jericho, M.H., & Kreuzer, H.J. (2006b). Digital in-line holographic microscopy. Appl. Opt. 45 (5), 836-850.
Goodman, J.W. (2005). Introduction to Fourier Optics. Greenwood Village: Roberst & Company Publishers.
Goodman, J.W., & Lawrence, R.W. (1967). Digital image formation from electronically detected holograms. Applied Physics Letters 11 (3), 77-79.
Gopinathan, U., Pedrini, G., & Osten, W. (2008). Coherence effects in digital in-line holographic microscopy. J. Opt. Soc. Am. A 25 (10), 24592466.
Jericho, M.H., & Kreuzer, H.J. (2011). Point Source Digital In-line Holographic Microscopy. In: P. Ferraro, A. Wax and Z. Zalevvsky, eds., Coherent Light Microscopy. Springer-Verlag Berlin Heidelberg, (Chapter 1).
Kreis, T.M. (2002). Frequency analysis of digital holography. Optical Engineering 41 (4), 771-778.
Kreuzer, H.J., Fink, H.W., Schmid, H., & Bonev, S. (1995). Holography of holes, with electrons and photons. Journal of Microscopy 178 (3), 191-197.
Picart, P., & Leval, J. (2008). General theoretical formulation of image formation in digital Fresnel holography: erratum. J. Opt. Soc. Am. A 26 (2), 244.
Schnars, U. (1994). Direct phase determination in hologram interferometry with use of digitally recorded holograms. J. Opt. Soc. Am. A 11 (7), 2011-2015.
Jorge Garcia-Sucerquia *
* Escuela de Fisica, Universidad Nacional de Colombia. Medellin, Colombia.
(Recibido: Noviembre 26 de 2015-Aceptado: Agosto 16 de 2016)
Caption: Figure 1. Recording stage in digital lensless holographic microscopy (DLHM).
Caption: Figure 2. Reconstruction (A) obtained from the contrast hologram produced from the in-line hologram illustrated in Figure 1. Profile (B) along the straight line in panel (A).
Caption: Figure 3. Test of lateral resolution. A: hologram oof two point close to the optical axis 1[micro]m apart. Hologram modeled with a blue laser k=473nm and 0.5 numerical aperture 0.5 (0.28 for the interior square). B: reconstruction for the whole hologram where sub-micrometer resolution is shown. C: reconstruction oof the inner part oof the hologram; the loss oof lateral resolution is evident.
Caption: Figure 4. Effect of spatial coherence in DLHM. The diameter of the area that is almost coherently illuminated is =6.2 [micron]m, 9.4[micron]m, 20.1[micron]m, 40.8[micron]m and 115[micron]m for figures A, B, C, D and E for pinhole diameters dp = 30[micron]m, 20[micron]m, 10[micron]m, 5[micron]m and 2 [micron]m, in that order; the mean wavelenght is =450 nm. The image in figure F corresponds is the reconstructed image for fully coherent illumination and wavelength [lambda]=405 nm. For all the experiments the numerical aperture was 0.41 and the pinhole-to-sample distance was varied from z = 400 to 900 [micron]m.
Leyanda: Figure 5. DLHM to study dynamic colloidal systems. Frame extracted from a video that records the dewetting process of a colloidal suspension of polystyrene in distilled water.
Caption: Figure 6. DLHM utilized to study colloidal crystals. (A) Reconstruction of a hologram recorded for a monolayer of polystyrene spheres 800nm in diameter. (B) Fourier transform of the image in panel (A). The hexagonal packing of the spheres highlighted in panel (A) is verified with the Fourier transform in panel (B).
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|Title Annotation:||INGENIERIA FISICA|
|Publication:||Ingenieria y Competividad|
|Date:||Jun 1, 2017|
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