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Digital holographic microscopy with dual-wavelength phase unwrapping Daniel Parshall and Myung K. Kim We apply the techniques of digital holography to obtain microscopic three-dimensional images of biolog- ical cells. The optical system is capable of microscopic holography with diffraction-limited resolution by projecting a magnified image of a microscopic hologram plane onto a CCD plane. Two-wavelength phase-imaging digital holography is applied to produce unwrapped phase images of biological cells. The method of three-wavelength phase imaging is proposed to extend the axial range and reduce the effect of phase noise. These results demonstrate the effectiveness of digital holography in high-resolution biolog- ical microscopy. © 2006 Optical Society of America OCIS codes: 090.1760, 100.5070, 110.0180. 1. Introduction Digital holography is an increasingly attractive alter- native to conventional holography; it replaces the photochemical processing of emulsions with digital processing of the photoelectric signals from a CCD array. It offers a number of significant advantages, such as the ability to acquire images rapidly and to apply a large number of highly effective digital pro- cessing techniques in image reconstruction. Ad- vances in digital imaging devices such as CCD and complementary metal-oxide semiconductor cameras and in computational and data storage capacities have been central to the widening applications of digital holography. Microscopic imaging by digital holography has been applied to imaging of micro- structures 1 and biological systems. 2–6 In digital ho- lography, both the amplitude and the phase of the optical field result directly from the numerical dif- fraction of the optically recorded holographic inter- ference pattern. 7–9 The numerical diffraction process can be utilized for corrections of various aberrations of the optical system such as field curvature 10 and anamorphism. 11 Digital holographic techniques have been reviewed by Schnars and Jueptner. 12 Phase measurement is of great importance not only in holography but also in interferometry, and a large number of techniques have been developed during the long history of interferometry; more recently, dig- ital interferometric imaging, or interferography, has been experiencing a rapid parallel progress with dig- ital holography. 13–15 Of particular significance is the 2-ambiguity problem in both interferometry and phase-imaging holography. A conventional approach to removing the 2 ambiguity is to apply one of many phase-unwrapping algorithms, 16,17 but often these re- quire substantial user intervention and strict require- ments on the level of phase noise and phase discontinuity. It has long been recognized that the range of unambiguous phase measurement can be ex- tended beyond a single wavelength by synthesizing a beat wavelength between two wavelengths. 18,19 Two- wavelength phase imaging has recently been applied to digital holography. 20 Use of multiple laser wave- lengths is especially advantageous in digital hologra- phy in comparison with conventional holography because of the ability to match, numerically, the exact wavelengths between recording and reconstruction. Multiwavelength digital holography has been used for full-color holography of colored objects 21,22 as well as in multicolor holographic interferometric imaging of phase objects. 23 In this paper we present results of our experiments demonstrating the effectiveness of digital holography in biological microscopy. We have obtained micro- scopic images with 1 m lateral resolution. Phase images of biological cells were obtained that exhibit intracellular variation of refractive indices owing to nuclei and other structures. Phase unwrapping by two-wavelength phase-imaging digital holography The authors are with the Department of Physics, University of South Florida, Tampa, Florida 33620. M. K. Kim’s e-mail address is [email protected]. Received 8 December 2004; revised 28 July 2005; accepted 30 July 2005. 0003-6935/06/030451-09$15.00/0 © 2006 Optical Society of America 20 January 2006 Vol. 45, No. 3 APPLIED OPTICS 451
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Digital holographic microscopy withdual-wavelength phase unwrapping

Daniel Parshall and Myung K. Kim

We apply the techniques of digital holography to obtain microscopic three-dimensional images of biolog-ical cells. The optical system is capable of microscopic holography with diffraction-limited resolution byprojecting a magnified image of a microscopic hologram plane onto a CCD plane. Two-wavelengthphase-imaging digital holography is applied to produce unwrapped phase images of biological cells. Themethod of three-wavelength phase imaging is proposed to extend the axial range and reduce the effect ofphase noise. These results demonstrate the effectiveness of digital holography in high-resolution biolog-ical microscopy. © 2006 Optical Society of America

OCIS codes: 090.1760, 100.5070, 110.0180.

1. Introduction

Digital holography is an increasingly attractive alter-native to conventional holography; it replaces thephotochemical processing of emulsions with digitalprocessing of the photoelectric signals from a CCDarray. It offers a number of significant advantages,such as the ability to acquire images rapidly and toapply a large number of highly effective digital pro-cessing techniques in image reconstruction. Ad-vances in digital imaging devices such as CCD andcomplementary metal-oxide semiconductor camerasand in computational and data storage capacitieshave been central to the widening applications ofdigital holography. Microscopic imaging by digitalholography has been applied to imaging of micro-structures1 and biological systems.2–6 In digital ho-lography, both the amplitude and the phase of theoptical field result directly from the numerical dif-fraction of the optically recorded holographic inter-ference pattern.7–9 The numerical diffraction processcan be utilized for corrections of various aberrationsof the optical system such as field curvature10 andanamorphism.11 Digital holographic techniques havebeen reviewed by Schnars and Jueptner.12

Phase measurement is of great importance not only

in holography but also in interferometry, and a largenumber of techniques have been developed duringthe long history of interferometry; more recently, dig-ital interferometric imaging, or interferography, hasbeen experiencing a rapid parallel progress with dig-ital holography.13–15 Of particular significance is the2�-ambiguity problem in both interferometry andphase-imaging holography. A conventional approachto removing the 2� ambiguity is to apply one of manyphase-unwrapping algorithms,16,17 but often these re-quire substantial user intervention and strict require-ments on the level of phase noise and phasediscontinuity. It has long been recognized that therange of unambiguous phase measurement can be ex-tended beyond a single wavelength by synthesizing abeat wavelength between two wavelengths.18,19 Two-wavelength phase imaging has recently been appliedto digital holography.20 Use of multiple laser wave-lengths is especially advantageous in digital hologra-phy in comparison with conventional holographybecause of the ability to match, numerically, the exactwavelengths between recording and reconstruction.Multiwavelength digital holography has been used forfull-color holography of colored objects21,22 as well as inmulticolor holographic interferometric imaging ofphase objects.23

In this paper we present results of our experimentsdemonstrating the effectiveness of digital holographyin biological microscopy. We have obtained micro-scopic images with �1 �m lateral resolution. Phaseimages of biological cells were obtained that exhibitintracellular variation of refractive indices owing tonuclei and other structures. Phase unwrapping bytwo-wavelength phase-imaging digital holography

The authors are with the Department of Physics, University ofSouth Florida, Tampa, Florida 33620. M. K. Kim’s e-mail addressis [email protected].

Received 8 December 2004; revised 28 July 2005; accepted 30July 2005.

0003-6935/06/030451-09$15.00/0© 2006 Optical Society of America

20 January 2006 � Vol. 45, No. 3 � APPLIED OPTICS 451

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was used to remove 2�-phase discontinuities. Thetechnique was found to be highly effective even in abiological system, in which significant phase noisewould cause great difficulties for conventional phase-unwrapping techniques. In Section 2 we summarizetheoretical calculations used in phase-imaging digitalholography. The digital holography experiments aredescribed in Section 3. In Section 4 we describe phaseunwrapping by two-wavelength digital holography. InSection 5 multiwavelength phase imaging is extendedto three wavelengths to permit a larger axial rangewith reduced phase noise. Consideration is also givento the possibility of complete imaging of the profiles ofthe front surface and the back surface as well as torefractive-index variation of a thin transparent object.Concluding remarks are given in Section 6.

2. Digital Holographic Microscopy: Theory

Here we start by using Fresnel diffraction theory toobtain expressions for optical fields at various planesin the imaging system. Refer to Fig. 1 for a schematicof the apparatus used in our experiments. A colli-mated beam from the laser is split into object andreference beams by beam splitter BS1. The objectbeam is focused by lens L2 onto point F2, which isalso the front focal point of objective lens L3. Thus theobject is illuminated by a collimated beam. ApertureA is placed at the conjugate point of the object withrespect to L3, such that the aperture is imaged ontothe object and the illumination is confined to an areaof the object that is being imaged by the holographicsystem. This is necessary to prevent light scatteredfrom the surrounding area of the object from enteringthe camera and thus contributing to the noise of theimaging system. The laser light is reflected by theobject and travels toward the camera, which is placedat the point of plane H conjugate to lens L3. Holo-gram plane H is a distance z0 from the object, greaterthan a certain minimum for the Fresnel diffraction tobe valid, as discussed below. Let Eh�xh, yh� be thetwo-dimensional pattern of the optical field reflectedfrom the object at plane H. The field in front of lens L3is24

E�(x�, y�) � Eh � S(x�, y�; z1), (1)

where the point-spread function of Fresnel diffractionis

S(x, y; z) � �ik

2�z exp�ikz �ik2z (x2 � y2�, (2)

Q denotes convolution, and the wavelength is �� 2��k. The field behind lens L3 of focal length f is

E�(x�, y�) � E�(x�, y�)exp��ik2f (x�2 � y�2)�. (3)

The field at the CCD plane is

Ec(xc, yc) � E� � S(xc, yc; z2). (4)

When Eqs. (1)–(4) are combined, one obtains

Ec(xc, yc) � �k2

4�2z1z2exp�ik(z1 � z2) �

ik2z2

(xc2

� yc2)��� dxhdyhEh(xh, yh)exp� ik

2z1(xh

2

� yh2��� dx�dy� exp�ik

2 � 1z1

�1z2

�1f (x�

2� y�

2) � ik�xh

z1�

xc

z2x� � ik�yh

z1

�yc

z2y��. (5)

Note that the CCD is at the image plane of plane Hsuch that

1z1

�1z2

�1f , � dx exp(ikx) � 2��(k);

Eq. (5) simplifies to

Ec(xc, yc) � �z1

z2expik(z1 � z2)�exp� ik

2(z2 � f) (xc2

� yc2)�Eh��

z1

z2xh, �

z1

z2yh. (6)

The reference beam is focused by lens L1 to pointF1, which is equidistant from beam combiner BS3and point F2. This field has a spherical wavefront,

exp� ik2(z2 � f) (xc

2 � yc2)�

identical to that which would be present if a colli-mated beam were launched from the object sidethrough lens L3. Therefore the field at the CCD plane

Fig. 1. Apparatus for digital holography: BS1–BS3, beam split-ters and combiners; M1, mirror; OBJ, object; REF, reference; otherabbreviations defined in text.

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is an accurate magnified image of the field, in bothamplitude and phase, that would be present if a col-limated reference wave were incident upon plane Has well as on the object wave.

Suppose that the object consists of a point sourcelocated at �X0, Y0� on object plane �x0, y0� a distance z0from hologram plane H:

E0(x0, y0) � �0�(x0 � X0, y0 � Y0). (7)

The object field at plane H is a spherical wave:

EHo(xh, yh) � �0 exp� ik2z0

(xh � X0)2 � (yh � Y0)

2� .

(8)

The reference field at plane H is a plane wave inci-dent at an angle from the z axis:

EHr(xh, yh) � �r expi(kxxh � kyyh)�, (9)

where kx � k · x and ky � k · y. The total field atplane H is Eh�xh, yh� � EHo � EHr, and the intensity is

Ih(xh, yh) � |Eh|2

� |�r|2 � |�0|

2 � �r�0* exp��ik2z0

[(xh � X0)2

�(yh � Y0)2] � i(kxxh � kyyh)

��r*�0 exp� ik2z0

[(xh � X0)2 � (yh � Y0)

2]

� i(kxxh � kyyh) . (10)

In digital holography, the intensity pattern is sam-pled at �xh, yh� � ��, ��; , � � 0, 1, 2, · · ·, Nx

� 1� by the CCD array of Nx � Nx and effective sizeax � ax, with ax � Nx:

Ih(, �) � |�r|2 � |�0|

2 � �r�0* exp��ik2z0

[( � X0)2

� (� � Y0)2] � i(kx � �ky)

� �r*�0 exp� ik2z0

[( � X0)2 � (� � Y0)

2]

� i(kx � �ky) . (11)

The first two terms in Eq. (11) are the zero-orderterms that are due to the reference and object beams,which can be eliminated by a few different methods.The phase-shifting digital holography removes thezero-order and twin images through multiexposureholographic recording while the phase of referencefield is shifted by an integer fraction of 2�.25,26 Anoff-axis hologram spatially separates the holographic

images away from the undiffracted zero order. Weuse the off-axis geometry and also take separate ex-posures of reference and object waves and subtractthese from the original holographic exposure. Thismethod proves to be highly effective in reducing anynoise from these terms, although the off-axis config-uration reduces the available spatial-frequency band-width by half. The other two terms are theholographic twin images, and these can be separatedif the off-axis angle of the reference beam is largeenough. We take the third term as the holographicimage term. Numerical reconstruction of the holo-graphic image starts with multiplication by a conju-gate reference field:

H(, �) � Ih(, �)EHr*(, �)

� |�r|2�0* exp��

ik2z0

[( � X0)2 � (�

� Y0)2] . (12)

Numerical diffraction is calculated by convolution ofH with S over a distance zi to obtain the holographicimage over a grid of the same size and resolution asthe CCD array �xi, yi� � �� , ��; , � � 0, 1, 2, · · ·,Nx � 1�:

Ei( , �) � H � S( , �; zi)

� �ik

2�ziexp(ikzi) �

, ��0

Nx�1

2H(, �)

� exp�ik2

2zi[( � )2 � (� � �)2] . (13)

The image at zi � z0 is

Ei( , �) � �ik2

2�zi|�r|

2�0* exp(ikzi)

� exp� ik2z0

[( 22 � X02) � (�22 � Y0

2)] � �

, ��0

Nx�1

exp��ik

z0( � X0)

� �(� � Y0)]�

� �ik2

2�zi|�r|

2�0* exp(ikzi)

� exp� ik2z0

[( 22 � X02) � (�22 � Y0

2)] � exp��

ikax

2z0[( � X0) � (� � Y0)]

�sin(kax�2z0)( � X0)sin(k�2z0)( � X0)

�sin(kax�2z0)(� � Y0)sin(k�2z0)(� � Y0)

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��ikax

2

2�zi|�r|

2�0* exp(ikzi)� , X0���, Y0�. (14)

The Kronecker delta in the last line follows from thesin N��sin � factors, which are familiar from the the-ory of diffraction by a grating. The width of the Kro-necker delta is d � 2�z0�Nx

2 pixels, i.e., d pixelsfor �kax�2z0�� � X0� to span �� to ��. The discretesummation is in fact periodic and can lead to aliasingunless �k�2z0�� � X0� � � for all �, which is sat-isfied if

z0 �ax

2

Nx�. (15)

This sets the minimum object-to-hologram distancefor Fresnel diffraction to be valid. We may also noteat this point that the use of the convolution methodmaintains the pixel size of the reconstructed imageidentical to that of the CCD plane. If instead theFresnel transform method is used, the pixel size var-ies in proportion to the distance and wavelengths.Although the amplitude image can be interpolated tomaintain constant image and pixel size, interpolationof the phase image can be problematic. Methods havebeen developed for handling this problem by zeropadding27 or by introduction of an intermediateplane.28

3. Digital Holographic Microscopy: Experiment

The digital holography experiment proceeds asfollows, described by use of an exemplary set of pa-rameters: The wavelength is � � 0.532 �m. An areaof the object is chosen for imaging with ax � 88 �mand Nx � 360, so � 0.24 �m. This gives min�z0�� 40 �m, and z0 is set to this value. This area of planeH is imaged by a microscope objective onto the CCDwith lateral magnification M � 37, to correspond tothe physical pixel size of M � 9 �m and Max

� 3.3 mm. The resolution of the imaging systemgiven by the Rayleigh criterion is d � 1.22��2 N.A.� 0.82 �m with an f � 8.55 mm microscope objectivelens with a N.A. of 0.4. This corresponds to Md� 30 �m at the CCD. The width of the point-spreadfunction of the digital reconstruction is d � 0.48 �m, which again is smaller than the opticalpoint-spread function d, and therefore the resolutionsof the CCD array and the numerical reconstructionare all sufficient for the given optical system. Theoptical system described here provides a straightfor-ward means for high-resolution holographic micro-scopic imaging. There is no need for elaborateprocessing such as magnification by using a recon-struction wavelength that is long compared with therecording wavelength,12 which inevitably introducesaberration, or using an aperture array in front of thecamera and scanning it to artificially increase theCCD resolution.29

Figures 2 and 3 illustrate some of the images ob-

Fig. 2. High-resolution holographic image reconstruction of the resolution target of area 88 �m � 88 �m with 360 � 360 pixels: (a) directimage when the object is on plane H, illuminated by a laser; (b) reconstructed amplitude image; (c) phase image; (d) phase image inperspective view.

Fig. 3. Holographic imaging of onion cells of area 88 �m � 88 �m with 360 � 360 pixels: (a) conventional microscope image, whose scaleis somewhat different from those of the holographic images; (b) direct image; (c) amplitude image; (d) phase image.

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tained from our digital holography system. Figure 2shows an 88 �m � 88 �m area of a U.S. Air Forceresolution target. Element 6 of group 7 has a 2.2 �mbar width, and the resolution of the image appearssomewhat better than that, say 1 �m. The holo-graphic amplitude image, Fig. 2(b), is quite indistin-guishable from the direct image, Fig. 2(a). Also notethat the phase image, Fig. 2(c) or 2(d), appears lessnoisy than the amplitude image. The amplitude im-age reflects the intensity variations in the referencewave, whereas the phase noise comes mostly from thequality of the optical surfaces in the imaging system.The former is much more difficult to control. Also notethat, from the phase image, the thickness of thechrome coating on the glass plate of the resolutiontarget is easily measured to be �75 nm. Figure 3shows an 88 �m � 88 �m area of a layer of onioncells. Again the amplitude images quite closely re-semble the direct images. The phase images, espe-cially Fig. 3(d), have much less noise than theamplitude image, and one can readily discern theindex variation over the nucleus of the onion cell.

4. Two-Wavelength Phase-Imaging Digital Holography

The basic principle of multiwavelength phase imag-ing is described by reference to Fig. 4, with numericalvalues that were used in generating the simulationplots. Suppose that the object is a tilted plane ofheight h � 5.0 �m. A single-wavelength phase image

has 2� discontinuity wherever the height is a multi-ple of the wavelength. For wavelength �1 � 0.532�m or �2 � 0.633 �m, phase map �m�x� �m � 1, 2�converted to surface profile zm�x� � �m�m�2� will con-sist of a number of ramps of height equal to thewavelength, Figs. 4(a) and 4(b). Subtraction of thetwo phase maps �12� � �1 � �2 has numerous discon-tinuities of 2�, Fig. 4(c), but adding 2� wherever�12� � 0 yields a new phase map, �12�x� � �12�� 2���12� � 0�, with a longer range free of disconti-nuities. In fact the new phase map is equivalent tothat of a longer beat wavelength, �12 � �1�2�|�1� �2| � 3.33 �m, and the corresponding surface pro-file is the coarse map, z12��x� � �12�12�x��2�, Fig. 4(d).By proper choice of the two wavelengths, axial range�12 can be adjusted to any value that would fit theaxial size of the object being imaged.

This technique provides a straightforward and ef-ficient phase-imaging method in a wide range of ap-plications. A limitation is that any phase noise ineach single-wavelength phase map is amplified by afactor equal to the magnification of the wavelengths.Suppose that single-wavelength phase maps �m�x�contain phase noise 2��m or that surface profiles zm�x�have a noise level of �m�m � 12 nm, where we use�m � 2% in the simulation. The noise in differencephase map �12�x� is 2��12 � 2���1 � �2�, and that insurface profile z12��x� is �12�12 � 130 nm. The noisehas in effect been amplified by approximately a factorof 2�12��m, as can be seen from the coarse map, Fig.4(d), in comparison with Fig. 4(a) or 4(b). The otherhalf of the phase-imaging method consists of an al-gorithm to reduce the noise back to the level of thesingle-wavelength phase maps. First, in Fig. 4(e),surface height z12�x� is divided into integer multiplesof one of the wavelengths, say, �1: z12��x�� int�z12���1��1. Then in Fig. 4(f) we paste on single-wavelength surface map z1�x�: z12��x� � z12� � z1. Thisalmost recovers the surface profile with significantlyreduced noise, except at the boundaries of wave-length intervals, where the noise in the single-wavelength phase map causes numerous jumps ofsize ��1. If the noise level is not excessive, one canremove most of the spikes in the last step simply bycomparing z12��x� with coarse map z12��x� and, if thedifference is more than half of �1, adding or subtract-ing one �1, depending on the sign of the difference:z12�x� � z12� � �1 sign�z12� � z12���|z12� � z12�|� �1�2�. Figure 4(g) shows the final result as the finemap, where the noise level is that of z1�x�, or �12 nm.The remaining spikes in the fine map are due toplaces where the noise in the coarse map is more thanone half of �1. That is, the maximum noise level forthe method to work properly is given approximatelyby �m � �m�4�12 � 4%.

Figure 5 shows corresponding curves from a two-wavelength phase-imaging experiment that uses thereflective surface of a resolution target as the objectand two wavelengths, at �1 � 0.532 �m and �2� 0.633 �m. The number of 2� discontinuities in Fig.5(a) or 5(b) shows that the plane object is tilted by�3.7 �m in optical path length. We can draw this

Fig. 4. Simulation of two-wavelength phase-imaging digital ho-lography: (a) height profile z1�x� of a 10 �m high incline, derivedfrom phase �1�x� of �1 � 0.532 �m; (b) z2�x� derived from phase �2�x�of �2 � 0.633 �m; (c) difference phase map �12� � �1 � �2; (d) coarsemap, z12��x�, with beat wavelength �12 � 3.33 �m; (e) z12��x�, wherez12��x� is divided into integer multiples of �1; (f) z12��x�, where z1�x�is pasted onto z12��x�; (g) fine map, z12�x�, where most of the spikesin z12��x� are removed by comparison with z12��x�. The vertical axisis 5.0 �m full scale in every figure, except for (c), where the verticalrange is �2� to �2�.

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conclusion only because we have a priori knowledgeof the general shape of the object. The phase discon-tinuity and ambiguity are removed by the combina-tion of the two single-wavelength phase maps,following the procedure outlined above. Recall thatthe two wavelengths combine to yield the beat wave-length, 3.3 �m, and that the coarse map includesamplified phase noise, both of which are evident fromFig. 5(d). The application of the noise-reducing pro-cedure results in the fine map shown in Fig. 5(g), withsignificant improvement in the reproduction of theflat areas. Some areas of Fig. 5(a) evidently showmore than a few percent phase noise, and these areasdo not reproduce well in Fig. 5(d) or 5(g). Figure 6shows perspective views of phase maps of the surfaceof a resolution target from another set of experi-ments. Figures 6(a) and 6(b) single-wavelength phasemaps use two wavelengths, �1 � 0.532 �m and �2

� 0.633 �m. Figure 6(c) is the coarse map and Fig.6(d) is the fine map. As they are printed here, thedifference between these two is not so obvious, butunder close examination of the profiles in a largerformat the fine map consists of mostly flat areas pep-pered with spiky glitches, whereas the coarse maphas generally rough surfaces. Apparently the phasenoise is not quite small enough to eliminate all theglitches from the fine map.

The method of phase imaging and phase unwrap-ping works equally well for biological microscopy. InFig. 7 a 193 �m � 193 �m area of a layer of onioncells is imaged. The single-wavelength phase imagesof Figs. 7(a) and 7(b) contain numerous 2� disconti-nuities, making it difficult to discern the cell body andwalls. These discontinuities are completely removedin the phase-unwrapped images of Figs. 7(c) and 7(d),and one can clearly observe the cell bodies delineatedby the cell walls. The image still contains a fairamount of noise, which can be attributed to a numberof possible sources, including quality of optical sur-faces in the imaging system, usually characterized as��20; amplitude and phase noise of the referencebeam; misregistration of the two images taken withthe green and the red lasers owing to slight misalign-ment of the two beams; and unbalanced dispersion ofthe two wavelengths in the optical elements of thesystem. Judging from the high quality of some of theother phase images that we were able to obtain,however, much of what appears to be noise could infact be the surface features of the slightly witheringcells. In any case, it is significant to note that, withsuch a complex-structured object, conventionalphase-unwrapping algorithms would be quite ineffec-tive, whereas the present method is independent ofthe complexity of the object as long as the noise doesnot exceed a certain manageable maximum. In Sec-tion 5 we consider a technique that can relax thenoise limitation even further.

5. Discussion

The phase-unwrapping technique can be further ex-tended to an iterative procedure of three or morewavelengths.30 First note that axial range �12 can beincreased by use of closer values of �1 and �2. In Figs.8(a) and 8(b) we use �1 � 0.62 �m and �2 � 0.58

Fig. 5. Experimental profiles of two-wavelength phase-imagingdigital holography. The descriptions of the individual figures arethe same as for Fig. 6.

Fig. 6. Two-dimensional profiles of a resolution target, 157 � 157 �m with 360 � 360 pixels, from two-wavelength phase-imaging digitalholography: (a) phase map z1�x, y� derived from phase �1�x, y� of �1 � 0.532 �m; (b) phase map z2�x, y� derived from phase �2�x, y� of �2

� 0.633 �m; (c) coarse map z12��x, y�; (d) fine map z12�x, y�.

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�m, so �12 � 8.99 �m. We noted above that for two-wavelength phase imaging the noise limit is given by�m � �m�4�12 � 1.7%: The noise limit is reducedbecause of the large value of �12. In Fig. 8 we use�m � 5%. Figures 8(c) and 8(d) show coarse map z12�and fine map z12 generated from �1 and �2. The noisein the coarse map, ��1 � �2��12 � 900 nm, shown inFig. 8(j), is much larger than half of �1, and the finemap has just too many �1 high spikes, as shown inFig. 8(k). Instead, we generate coarse maps z13� andz33� of beat wavelengths �13 and �23, respectively,according to the same procedure as above. With �3� 0.50 �m we have �13 � 2.58 �m and �23 � 3.63�m, Figs. 8(f) and 8(g). Combining these two maps by

using the coarse map procedure produces a coarsemap of coarse maps, z13–23�, which is actually identicalto two-wavelength coarse map z12� of Fig. 8(c). Now,instead of pasting z1 to z12�, which is too noisy toproduce a useful result, we go through two steps.First we paste z13� to z13–23� ��z12�� to obtain interme-diate fine map z13�23�, Fig. 8(h). The noise level in thismap is that of z13�:��1 � �3��13 � 260 nm, Fig. 8(l).This is now smaller than one half of �1, and we canpaste z1 to obtain the final fine map, Fig. 8(i). Thenoise in this map is that of z1, �1�1 � 31 nm. Thus weachieve long-range, 8.99 �m, phase imaging withoutdiscontinuity and with low noise, �31 nm. The max-imum noise level �m in the single-wavelength phase

Fig. 7. Two-dimensional profiles of onion cells, 193 �m � 193 �m with 360 � 360 pixels, from two-wavelength phase imaging digitalholography: (a) phase map z1�x, y� derived from phase �1�x, y� of �1 � 0.532 �m; (b) phase map z2�x, y� derived from phase �2�x, y� of �2

� 0.633 �m; (c) coarse map z12��x, y�; (d) fine map z12�x, y�.

Fig. 8. Simulation of three-wavelength phase-imaging digital holography: (a) height profile z1�x� of a 10 �m high incline, derived fromphase �1�x� of �1 � 0.62 �m; (b) z2�x� derived from phase �2�x� of �2 � 0.58 �m; (c) coarse map z12��x� of beat wavelength �12 � 8.99 �m;(d) fine map z12�x�; (e) z3�x� derived from phase �3�x� of �3 � 0.50 �m; (f) coarse map z13��x� of beat wavelength �13 � 2.58 �m; (g) coarsemap z23��x� of beat wavelength �23 � 3.63 �m; (h) intermediate fine map z13�23�, where z13��x� is pasted onto z13–23��x� � z12��x�; (i) final finemap z13–23�x�, where z1�x� is pasted onto z13�23��x�; (j) noise in (c), z12� � z�x�, where z�x� is the actual height profile; (k) noise in (d), z12�x�� z�x�; (l) noise in (h), z13�23��x� � z�x�; (m) noise in (i), z13–23�x� � z�x�. The vertical axis is 10.0 �m full scale in (a)–(i) and 1.0 �m full scalein (j)–(m).

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map for the three-wavelength phase imaging to workis given by the smaller of �13�4�12 � 7% or �1�4�13� 6%.

We consider another interesting possibility of ac-quiring a complete three-dimensional profile of anobject by phase-imaging holography. Suppose that athin transparent object is placed in the object space ofthe holographic system, Fig. 9. Its physical thicknessb�x, y� and index of refraction n�x, y� vary across thetransverse direction. Index n does not vary along theaxial z direction, or we take n to be the average valuealong the short z direction. Distances a�x, y� andc�x, y� are measured from arbitrary reference planeson either side of the object. First, a holographic imagereconstruction with reflection geometry is carriedout. We assume that reflectance r of the object sur-faces is small (a few percent) and constant across thesurfaces. The reconstructed field is proportional to

r exp (2ika) � r exp 2ik(a � nb)� �

�2ir sin(knb) exp ik(2a � nb)�. (16)

From the amplitude variation of the reflected field,one obtains a profile of optical thickness n�x, y�b�x, y�.This is substituted into phase map �r�x, y� �2ka�x, y� � n�x, y�b�x, y�� of the reflected field to yieldfront surface profile a�x, y�. Another holography ex-periment is performed in transmission geometry,which yields another phase map, �t�x, y� � ka�x, y�� n�x, y�b�x, y� � c�x, y��. Subtraction of a and nbyields the back surface profile, c�x, y�. As the totaldistance a � b � c is a constant, physical thicknessb�x, y� is obtained from �a � b � c� � a � c, and thisin turn yields index profile n�x, y�. If the object thick-ness is larger than the wavelength, the 2� ambiguityin the phase factors can be resolved by use of themultiwavelength phase-imaging technique pre-sented in this paper. In principle, determination ofn�x, y�b�x, y� from sin�knb� in the amplitude can behandled in a similar fashion, although the amplitudetends to be more sensitive to noise.

6. Conclusions

In this paper we have presented a number of recentexperimental results that demonstrate the effective-ness of digital holography in high-resolution biologi-cal microscopy. In particular, phase-imaging digitalholography offers a highly sensitive and versatile

means to measure and monitor optical path varia-tions. We have presented biological microscopy bytwo-wavelength phase-imaging digital holographyand proposed its extension to three-wavelengthphase imaging for longer axial ranges with undimin-ished resolution. We are in the process of developinga number of digital microholographic techniques toextend its range of applications as in the three-dimensional imaging of cellular structural changes incell division and tomographic imaging of tissue struc-tures. With continued advances in imaging and com-puting technology, digital holography is poised tobecome an important tool for diverse areas of biomed-ical imaging.

This study is supported in part by the NationalScience Foundation.

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