Search tips
Search criteria 


Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
Br J Dermatol. Author manuscript; available in PMC 2009 June 8.
Published in final edited form as:
PMCID: PMC2693082

Detection of basal cell carcinomas in Mohs excisions with fluorescence confocal mosaicing microscopy

JK Karen, MD,* DS Gareau, PhD,* SW Dusza, MPH, M Tudisco, PhD, M Rajadhyaksha, PhD,+ and KS Nehal, MD+



High-resolution real-time imaging of human skin is possible with a confocal microscope either in vivo or in freshly excised tissue ex vivo. Nuclear and cellular morphology is observed in thin optical sections, similar to that in conventional histology. Contrast agents such as acridine orange in fluorescence and acetic acid in reflectance have been used in ex vivo imaging to enhance nuclear contrast.


To evaluate the sensitivity and specificity of ex vivo real-time imaging with fluorescence confocal mosaicing microscopy, using acridine orange, for the detection of residual basal cell carcinoma (BCC) in Mohs fresh tissue excisions.


Forty-eight discarded skin excisions were collected following completion of Mohs surgery, consisting of excisions with and without residual BCC of all major subtypes. The tissue was stained with acridine orange and imaged with a fluorescent confocal mosaicing microscope. Confocal mosaics were matched to the corresponding H&E stained Mohs frozen sections. Each mosaic was divided into subsections, resulting in 149 sub-mosaics for study. Two Mohs surgeons, who were blinded to the cases, independently assessed confocal sub-mosaics and recorded the presence or absence of BCC, location, and histologic subtype(s). Assessment of confocal mosaics was compared to corresponding Mohs surgery maps.


The overall sensitivity and specificity of detecting residual BCC was 96.6% and 89.2%, respectively. The positive predictive value was 92.3% and the negative predictive value 94.7%. Very good correlation was observed between confocal mosaics and matched Mohs frozen sections for benign and malignant skin structures, overall tumor burden and location, and identification of all major histologic subtypes of BCC.


Fluorescent confocal mosaicing microscopy using acridine orange enables detection of residual BCC of all subtypes in Mohs fresh tissue excisions with high accuracy. This observation is an important step towards the long-term clinical goal of using a non-invasive imaging modality for potential real-time surgical pathology-at-the-bedside for skin and other tissues.

Keywords: Basal cell carcinoma, confocal microscopy


There is growing interest in rapid non-invasive imaging of skin cancers with optical imaging technologies such as Raman spectroscopy1,2, fluorescence polarization3, multiphoton4,5, fluorescence lifetime,6 fluorescence imaging7,8, optical coherence tomography9, and reflectance confocal microscopy10. Reflectance confocal microscopy has made important strides towards clinical applications with high resolution and sectioning comparable to that of conventional histology. Nuclear and cellular detail is noninvasively imaged in thin optical sections (1-5 μm) with high lateral resolution (0.2-1.0 μm) and high contrast, using objective lenses with high numerical apertures (NAs) of 0.7-1.4 and magnifications of 20X – 100X. Recent studies have demonstrated excellent correlation between confocal images and histopathology for normal skin and benign and malignant lesions in vivo and in freshly excised tissue ex vivo.10

Confocal microscopes typically display small fields-of-view of 0.2-1.0 mm, given the need for high NAs and the corresponding use of high magnification lenses. For examination of large areas of tissue, we developed a confocal mosaicing microscope.11-15 A two-dimensional array of images is acquired and stitched together in software, to create a mosaic that displays a large field-of-view. In our current laboratory microscope, a field-of-view of up to 12×12 mm may be displayed13-15 which is equivalent to 2X magnification that is routinely used when examining pathology.

In previous research, we demonstrated feasibility of ex vivo imaging of skin excisions from Mohs surgery with confocal mosaicing microscopy.13-15 Superficial, nodular and micronodular basal cell carcinomas (BCCs) were visually detected in reflectance mode, using acetic acid as a contrast agent (i.e. acetowhitening) to brighten nuclei. However, infiltrative BCCs, which tend to be smaller in size and deeper in the dermis, were not consistently detected. In the reflectance mode, the acetowhitened nuclei as well as the surrounding normal dermis strongly backscatter light. Therefore, large and densely-nucleated tumors are detected, whereas small and sparsely-nucleated tumors remain obscured within the deeper dermis.

More recently, fluorescence has shown stronger enhancements between nuclear and dermal contrast and improved detection of tumors.15,16 Compared to scattering in reflectance, endogenous autofluorescence from the dermis is relatively weak under real-time high-resolution confocal imaging conditions. With a contrast agent that stains nuclei, fluorescent light emission may be collected specifically from nuclear morphology with very little from the surrounding dermis, resulting in 1000-fold improvement in nuclear-to-dermal contrast.15 The efficacy of fluorescence using methylene blue and toluidine blue for the detection of BCCs in Mohs excisions was first shown by Al-Arashi et al.16 Subsequently, we showed that another well-known contrast agent for nuclei, acridine orange, also strongly enhances nuclear-to-dermal contrast and allows detection of all subtypes of BCC, including infiltrative tumors.15 Importantly, use of acridine orange does not affect any subsequent frozen pathology.15

The aim of this study was to evaluate the accuracy of fluorescence confocal mosaicing microscopy using acridine orange for the detection of residual BCC in Mohs fresh tissue excisions. This is another important step toward the long-term goal of developing and potentially using confocal microscopy as a noninvasive imaging tool for real-time surgical pathology-at-the-bedside in skin and other tissues.


Tissue Collection and Preparation

This study was conducted in the Mohs Surgery Unit at Memorial Sloan-Kettering Cancer Center (New York, NY). Mohs surgery was performed according to standard procedure: tissue excised, divided, inked, processed by frozen sections, stained with hematoxylin and eosin (H&E) and evaluated by conventional light microscopy. Following completion of the Mohs surgery for biopsy-proven BCCs, excess tissue was collected for confocal imaging under IRB-approved protocol. The excess tissue represented the remnants of the excisions that are routinely discarded, such that our research did not interfere with the routine Mohs surgical procedure or affect patient care.

The fresh frozen tissue was thawed, rinsed with isotonic saline, immersed in 1milliMolar acridine orange (pH 6.0) for 20 seconds, rinsed with isotonic saline again to remove excess unbound contrast agent, and then imaged with the confocal mosaicing microscope. Details of the experimental study, to develop optimum staining with acridine orange, were previously reported.15

Acridine orange provides strong and robust nuclear-to-cytoplasm and nuclear-to-dermis contrast.15 The fluorescence is resistant to photobleaching during the mosaicing process. With illumination power of 3-5 mW on the tissue, the time for fluorescence bleaching was determined to be ~3 minutes. This is on the same order of magnitude as ~1 minute, as reported elsewhere but under different conditions.17

Fluorescence Confocal Mosaicing Microscopy

Confocal mosaics were acquired using a modified laboratory version of a commercial confocal laser scanning microscope (Vivascope 2000, Lucid Inc., Rochester, New York). The instrumentation and imaging details have been previously described.12-15 In brief, an Argon-ion laser at a wavelength of 488 nm illuminated tissue with low power of 5 milliwatts. Fluorescence emission was detected in the range 500-600 nm. A specially-engineered tissue fixture was used for mounting Mohs surgical excisions. The design and operation of the tissue fixture simulates that of the mount in cryostats that are used for preparing frozen sections. A two-dimensional array of images was captured using a 30X, 0.9NA custom-designed water immersion objective lens (StableView, Lucid Inc., Rochester, NY). The lens provides a field-of-view of 0.43 mm, with optical sectioning of ~1 μm and lateral resolution of ~ 0.25 μm. Only the exposed or cut surface of the discarded excision was imaged. This exposed surface corresponds to the surgical margin seen on Mohs frozen sections. Following image acquisition, no additional processing of the confocal images was performed.

The images were seamlessly stitched together to create a confocal mosaic, or a map of the entire excision, with a Matlab-based software algorithm. The mathematics of the algorithm is detailed in our previous work.14-15 In our current laboratory system, up to 36×36 images may be stitched together to display a field-of-view of up to 12×12 mm. This field-of-view is equivalent to that seen with light microscope magnification of 2X. Acquiring the array of images and creating a mosaic currently requires up to 9 minutes. The entire mosaic displays a low-resolution map at low magnification, showing the overall location and morphology of skin. Additionally, smaller portions called sub-mosaics display cellular and nuclear detail at higher magnification and higher resolution.

An entire mosaic consists of 23,040 × 17,280 pixels and requires 325 MB of memory. The mosaics were scaled down, resulting in lateral resolution and display pixelation that were equivalent to that in a 2X-view of pathology. The final mosaic consists of approximately 2500 × 1900 pixels with lateral resolution of ~4 μm and requires only 4 MB of memory.13-15 The mosaics were viewed on a 30-inch flat-screen monitor (Dell 222-7175 with a GeForce 880 GTS video card) with 2500 × 1900 pixels. With digital zooming, sub-mosaics were also observed. For example, while an entire mosaic displays with 2X magnification, a quarter sub-mosaic displays with 4X.

Study Sample and Design

Forty-eight confocal mosaics were prepared for the study. These represented a convenience sample of excisions that were from both positive (i.e. residual BCC) and negative (i.e. no residual BCC) Mohs stages. This sample was enriched to include all major subtypes of BCCs (i.e., superficial, nodular, micronodular and infiltrative).

An experienced Mohs histotechnician (MT) and an engineer (DG) reviewed all mosaics for overall image quality and visually correlated them to the corresponding H&E-stained Mohs frozen sections, to confirm that concordant mosaics and pathology were being compared. Small distortions in the imaged surface of the tissue often occur due to the thawing, staining and rinsing process and after mounting into the fixture. Confocal mosaics were therefore expected to show close (but not necessarily exact) correlation to the corresponding Mohs frozen section. Three mosaics were eliminated from the study due to poor image quality or poor correlation to frozen pathology, resulting in 45 mosaics that were assessed.

The Mohs tissue pieces ranged in size from 5 to 20 mm. Each confocal mosaic (which displays at 2X magnification) was divided into 2 to 4 smaller sub-mosaics, depending on tissue size (Fig. 1). Accordingly, the study sample comprised 149 sub-mosaics of which 89 (59.7%) contained residual BCC and 60 (40.3%) contained no residual BCC. The histologic subtypes of BCC in the 89 cases were: 38 mixed histology, 22 nodular, 12 infiltrative, 10 micronodular and 7 superficial.

Figure 1
Study design. Fluorescent confocal mosaic (A) and corresponding H&E-stained Mohs frozen section (B) at magnification of 2X. Each is divided into four quadrants, as indicated by the white lines. Each quadrant represents a sub-mosaic at 4X magnification. ...

Two Mohs surgeons (KSN, JKK), who were blinded to case status, independently assessed the 149 sub-mosaics (total sample number 298) during 4 sessions over a period of one month. Confocal sub-mosaics were presented in a random order at 4X magnification. To mimic the standard examination of pathology, digital zooming up to a maximum magnification of 30X was permitted. For each sub-mosaic, each Mohs surgeon recorded the presence or absence of BCC, documented tumor location on a map similar to that routinely drawn during Mohs surgery, recorded the histologic subtype(s) and commented on the image quality.

Statistical Analysis

The outcome variable in this study was the assessment of presence or absence of BCC tumor in each of the sub-mosaics. This assessment was compared to the “gold standard” which is the Mohs maps that were drawn by the Mohs surgeon (KSN) at the time of surgery. Measures of detection accuracy were estimated using binary marginal general linear models. When there were discordant cases (i.e. one or both observers' assessment did not match the Mohs map), sub-mosaics and the corresponding Mohs frozen section were reviewed by both Mohs surgeons (KSN, JKK) and an engineer (DG) to assess the source of discordance. All statistical analyses were performed in Stata SE v.9.2.


Detection Accuracy

The accuracy of fluorescence confocal mosaicing microscopy for the detection of residual BCC or absence of BCC in Mohs fresh tissue excisions was very good. Of the 60 true negatives, 50 and 57 were correctly diagnosed by Observer 1 and 2, respectively (Figs 2a-b). Of the 89 true positives, 88 and 84 were correctly diagnosed by Observer 1 and 2, respectively (Figs2c-d). Table 1 details the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of each observer and the overall performance. There was no statistical difference in detection accuracy between the two observers.

Figure 2
Fluorescent confocal sub-mosaics (A, C) and the corresponding H&E-stained Mohs frozen sections (B, D) at 4X-magnification. The sub-mosaic and frozen section of a negative Mohs stage shows no residual BCC (A, B); positive Mohs stage shows residual ...
Table 1
Accuracy of detecting basal cell carcinomas with fluorescence confocal mosaicing microscopy, using acridine orange. The measures are shown for each observer as well as overall performance

Review of the discordant cases showed various sources of error. The initial 4 missed cases were a result of a learning curve or lack of confidence in evaluating confocal images. There was a trend towards improved sensitivity and specificity for both observers as the study progressed, consistent with a learning curve. Other causes of error were technical issues such as confocal artifact in 2 cases (saturation of contrast dye or illumination mimicking the appearance of a tumor focus) and poor tissue integrity altering tumor presentation in 4 cases (missed superficial BCC when the epidermal margin was not complete). True histologic interpretation errors occurred in 8 cases (differentiating miniaturized hair follicle from BCC and BCC being obscured by dense inflammation). Of the false negative errors, none involved infiltrative BCCs (2 nodular; 2 micronodular; 2 superficial).

Qualitative Assessment

The examination of confocal mosaics and sub-mosaics mimics the viewing of frozen pathology – rapid examination at low-resolution of a wide field-of-view aided, as needed, by further high-resolution inspection of nuclear morphology in smaller fields-of-view. Viewing mosaics at low magnification of 4X was usually sufficient to readily detect and distinguish residual nodular and micronodular BCC from surrounding benign structures and dark dermis, based on the relatively strong fluorescence signal (brightness and contrast), large tumor morphology and nuclear atypia (Figs 2c-d). Questionable or suspicious areas, such as a small focus of superficial (Fig. 3) or infiltrative BCC (Fig. 4) or tissue with dense inflammation, were further delineated at higher magnification of up to 30X, allowing assessment of individual nuclear detail. Digital zooming at 30X magnification was equivalent to viewing individual images within a mosaic. However, such zooming and the use of magnification higher than 4X were rarely performed. The image quality of the mosaics was good in the majority of cases. Correlation was good between the maps drawn from the confocal sub-mosaics and the corresponding Mohs maps from the frozen pathology, for overall tumor burden, location and morphology of BCC tumor.

Figure 3
Fluorescent confocal sub-mosaic (A) of a superficial BCC and the corresponding H&E-stained Mohs frozen section (B) at 4X-magnification. The bright focus (arrow) along epidermal margin is suspicious for residual tumor. Digital zooming to higher ...
Figure 4
Fluorescent confocal sub-mosaic (A) of residual infiltrative BCC and the corresponding H&E-stained Mohs frozen section (B) at 4X-magnification. The residual infiltrative BCC (arrows) is seen within the reticular dermis as bright strands in the ...


This study demonstrates the feasibility and accuracy of fluorescent confocal mosaicing microscopy, using acridine orange for nuclear staining, to detect residual BCC of all subtypes and differentiate from normal skin in excised tissue from Mohs surgery. The early findings of Al-Arashi et al16 and our recent results suggest that standard fluorescence contrast agents may prove useful for rapid nuclear staining of excised skin tissue. These findings represent another advance in our ongoing translational research to develop potential clinical applications for confocal microscopy. The long-term goal is rapid real-time imaging to provide surgical pathology-at-the-bedside in excised skin and other tissues. Such scenarios are already being explored in the surgical arena relating to real-time interpretation of breast, parathyroid, and ovarian tissues with confocal microscopy.18-20

Although fluorescence confocal microscopy requires contrast agents to stain nuclear detail, this technology may offer advantages over standard pathology given rapid contrast staining within seconds and ability to view tissue pathology in real-time without need for tissue processing. In contrast, traditional processing of Mohs frozen sections is labor-intensive, time-consuming and accounts for ~15% of the operating costs (i.e., total of ~$150 million per year in the USA)21 in Mohs surgery. In other surgical settings such as head-and-neck and breast cancers, large excised specimens may be examined rapidly leading to more accurate and complete removal of tumor associated with lower costs. Other tissues such as bone are not amenable to frozen sections but can be directly imaged with confocal microscopy.22

The differences between the two observers' assessments may be explained based on the experience level as a Mohs surgeon and experience with evaluating confocal images. Observer 1, a senior Mohs surgeon with approximately ten years of experience in studying confocal images, performed with sensitivity of nearly 99%. The lower specificity of 83.3% is likely related to several factors. The senior Mohs surgeon was very experienced in evaluating confocal reflectance images with acetic acid during initial years of research11-14 but was new to the fluorescent acridine orange confocal modality. Although acetic acid and acridine orange both show bright nuclear morphology, there are intrinsic differences in the two forms of contrast. Secondly, the senior Mohs observer was deliberately conservative, as appropriate when evaluating any new technology, and thus recorded as “positive” all suspicious foci, which included artifacts due to saturation and dense inflammation. Observer 2 is a Mohs Fellow with only a few months of experience with confocal microscopy that was acquired during this study. Several cases missed by Observer 2 early in the study were likely due to Observer 2's lack of familiarity with reading confocal images. As the study progressed, the sensitivity improved quickly, suggesting a rapid learning curve for interpreting confocal mosaics.

In general, challenges in interpreting confocal mosaics mirrored those that are routinely encountered with Mohs pathology. The challenges included missed diagnosis of superficial BCC tumor when the epidermal margin was not fully intact, confusion of small hair follicles with BCC, and difficulty in interpreting dense inflammation. Both observers found interpretation of superficial tumor to be the most challenging, especially when the adjacent epidermal margin was incomplete. This is likely a result of tissue disruption since the confocal mosaics were acquired on the discarded excisions following the preparation of Mohs frozen pathology. Such distortions may be minimized when fresh tissue is imaged directly after excision. Of note, there was no difficulty in interpreting infiltrative BCCs on confocal images.

This pilot feasibility study reviewed a relatively small convenience sample (n=48). Although the results are promising, they should be tempered by the limited number of observations and reviewers. To combat issues of generalizability, we enriched the sample to include all the major subtypes of BCC's. However, further work needs to be done with a larger sample and multiple reviewers.

This study was performed ex vivo since initial feasibility studies could only be performed following completion of the Mohs procedure. The imaging was facilitated by the fact that the cryostat-sectioned margin presented a conveniently flat surface for imaging. As we advance toward imaging directly on freshly excised Mohs tissue, we anticipate challenges in mounting tissue of variable thickness, size and contour to enable visualization of the complete surgical margins.

In order for real-time confocal imaging to have true clinical utility, several factors still require improvement and further study. In our initial clinical evaluation we focused solely on confocal imaging of BCCs since they constitute 80% of all skin cancers. Although very accurate in the detection of BCCs, applicability of confocal imaging to other tumors will need to be explored as the success of Mohs surgery hinges on the ability to truly “read tissue” – i.e. to diagnose all tumor types and benign proliferations. This may require multimodal imaging, similar to the use of multiple stains in pathology to differentiate tumor origins. For example, reflectance confocal microscopy is being combined with Raman spectroscopy for detection of BCCs,2 which may enhance diagnostic accuracy but still requires further clinical study with a large sample size and advanced statistical analysis. Furthermore, to match the accuracy of conventional histology, ultimately a reproducible contrast protocol, consistent image quality, and near perfect interpretation record will be needed to meet the rigorous expectations of clinicians. Finally, further translational advances in image acquisition and mosaicing speed and availability of compact, inexpensive and user-friendly equipment will be necessary for acceptance into the clinical realm. Preliminary engineering suggests that mosaics of up to 20×20 mm may be created in 2-3 minutes. A recently developed commercial version (VivaScope 2500, Lucid Inc., Rochester, New York) of our confocal mosaicing microscope occupies a footprint of 8×11 inches and costs $50,000. Ongoing technology research in line-scanning24, 25 shows preliminary promise for confocal microscopes with smaller footprints (possibly 5×5 inches) and lower costs in the $10,000 range.


We are indebted to Klaus J. Busam, MD for his help with pathology, Billy Huang for help with the mosaicing, and Zach Eastman and William Fox of Lucid Inc. for technical support.

Funding sources: This research was funded in part by the National Institutes of Health (NIH), grant R01EB002715 from the Image-Guided Interventions program of the National Institute of Biomedical Imaging and Bioengineering, and in part by a grant from the Byrne Fund, Department of Medicine at Memorial Sloan-Kettering Cancer Center.


1. Nijssen A, Maquelin K, Santos LF, et al. Discriminating basal cell carcinoma from perilesional skin using high wave-number Raman spectroscopy. J Biomed Opt. 2007;12:034004. [PubMed]
2. Lieber CA, Majumder SK, Billheimer D, et al. Raman microscopy for skin cancer detection. J Biomed Opt. 2008;13:024013. [PubMed]
3. Yaroslavsky AN, Salomatina EV, Neel V, et al. Fluorescence polarization of tetracycline derivatives as a technique for mapping nonmelanoma skin cancers. J Biomed Opt. 2007;12:014005. [PubMed]
4. Paoli J, Smedh M, Wennberg AM, Ericson MB. Multiphoton laser scanning microscopy on non-melanoma skin cancer: morphologic features for future non-invasive diagnostics. J Invest Dermatol. 2007;128:1248–55. [PubMed]
5. Lin SJ, Jee SH, Kuo CJ, et al. Discrimination of basal cell carcinoma from normal dermal stroma by quantitative multiphoton imaging. Opt Lett. 2006;31:2756–8. [PubMed]
6. Galletly NP, McGinty J, Dunsby C, et al. Fluorescence lifetime imaging distinguished basal cell carcinoma from surrounding uninvolved skin. Br J Dermatol. 2008;159:152–61. [PubMed]
7. Ericson MB, Uhre J, Strandeberg C, et al. Bispectral fluorescence imaging combined texture analysis and linear discrimination correlation with histopathologic extent of basal cell carcinoma. J Biomed Opt. 2005;10:1–8. [PubMed]
8. Stenquist B, Ericson MB, Strandeberg C, et al. Bispectral fluorescence imaging of aggressive basal cell carcinoma combined with histopathological mapping: a preliminary study indicating a possible adjunct to Mohs micrographic surgery. Br J Dermatol. 2006;154:305–9. [PubMed]
9. Olmedo JM, Warschaw KE, Schmitt JM, Swanson DL. Optical coherence tomography for the characterization of basal cell carcinoma in vivo: a pilot study. J Am Acad Dermatol. 2006;55:408–12. [PubMed]
10. González S, Gill M, Halpern AC, editors. Reflectance Confocal Microscopy of Cutaneous Tumors. Informa UK Ltd; London: 2008.
11. Rajadhyaksha M, Menaker G, Flotte T, et al. Confocal examination of nonmelanoma cancers in thick skin excisions to potentially guide Mohs micrographic surgery without frozen histopathology. J Invest Dermatol. 2001;117:1137–43. [PubMed]
12. Chung VQ, Dwyer PJ, Nehal KS, et al. Use of ex vivo confocal scanning laser microscopy during Mohs surgery for nonmelanoma skin cancers. Dermatol Surg. 2004;30:1470–8. [PubMed]
13. Patel YG, Nehal KS, Aranda I, et al. Confocal reflectance mosaicing of basal cell carcinomas in Mohs surgical skin excisions. J Biomed Opt. 2007;12:034027. [PubMed]
14. Gareau DS, Patel YG, Li Y, et al. Confocal mosaicing in skin excisions: a demonstration of rapid surgical pathology. J Microsc. In press. [PMC free article] [PubMed]
15. Gareau DS, Li Y, Huang B, et al. Confocal mosaicing microscopy in Mohs skin excisions: feasibility of rapid surgical pathology. J Biomed Opt. 2008;13:054001. [PMC free article] [PubMed]
16. Al-Arashi MY, Salomatina E, Yaroslavsky AN. Multimodal confocal microscopy for diagnosing nonmelanoma skin cancers. Lasers Surg Med. 2007;39:696–705. [PubMed]
17. Benson DM, Bryan J, Plant AL, et al. Digital imaging fluorescence microscopy: Spatial heterogeneity of photobleaching rate constants in individual cells. J Cell Biol. 1985;100:1309–23. [PMC free article] [PubMed]
18. Tilli MT, Cabrera MC, Parrish AR, et al. Real-time imaging and characterization of human breast tissue by reflectance confocal microscopy. J Biomed Opt. 2007;12:051901. [PubMed]
19. White WM, Tearney GJ, Pilch BZ, et al. A novel noninvasive imaging technique for intraoperative assessment of parathyroid glands: confocal reflectance microscopy. Surgery. 2000;128:1088–1100. [PubMed]
20. Makhlouf H, Gmitro AF, Tanbakuchi AA, et al. Multispectral confocal microendoscope for in vivo and in situ imaging. J Biomed Opt. 2008;13:044016. [PubMed]
21. Bialy TL, Whalen J, Veledar E, et al. Mohs micrographic surgery versus traditional surgical excision - a cost comparison analysis. Arch Dermatol. 2004;140:736–42. [PubMed]
22. White WM, Baldassano M, Rajadhyaksha M, et al. Confocal reflectance imaging of head and neck surgical specimens: a comparison with histologic analysis. Arch Otolaryngol Head Neck Surg. 2004;130:923–8. [PubMed]
24. Dwyer PJ, DiMarzio CA, Zavislan JM, Fox WJ, Rajadhyaksha M. Confocal reflectance theta line-scanning microscope for imaging human skin in vivo. Opt Lett. 2006;31:942–4. [PubMed]
25. Dwyer PJ, DiMarzio CA, Rajadhyaksha M. Confocal theta line-scanning microscope for imaging human tissues in vivo. Appl Opt. 2007;46:1843–51. [PubMed]