Abstract
The field of fluorescence-guided surgery builds on colored fluorescent tracers that have become available for different clinical applications. Combined use of complementary fluorescent emissions can allow visualization of different anatomical structures (e.g. tumor, lymphatics and nerves) in the same patient. With the aim to assess the requirements for multi-color fluorescence guidance under in vivo conditions, we thoroughly characterized two FDA-approved laparoscopic Firefly camera systems available on the da Vinci Si or da Vinci Xi surgical robot. In this process, we studied the cameras’ performance with respect to the photophysical properties of the FDA-approved dyes Fluorescein and ICG. Our findings indicate that multi-wavelength fluorescence imaging of Fluorescein and ICG is possible using clinical-grade fluorescence laparoscopes, but critical factors for success include the photophysical dye properties, imaging system performance and the amount of accumulated dye. When comparing the camera performance, the Xi system provided more effective excitation (adaptions in the light source) and higher detection sensitivity (chip-on-a-tip and/or enhanced image processing) for both Fluorescein and ICG. Both systems can readily be used for multi-wavelength fluorescence imaging of Fluorescein and ICG under clinically relevant conditions. With that, another step has been made towards the routine implementation of multi-wavelength image-guided surgery concepts.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
Since its revival early this century, the field of fluorescence-guided surgery has rapidly progressed, in part due to the plurality of differently colored fluorescent tracers that have become available for clinical use [1]. The near-infrared (NIR) dye indocyanine green (ICG; λex max = 800 nm, λem max = 820 nm) is routinely applied as dye for fluorescence-guided surgery and has been the dye to serve as focal point in the development of most commercial fluorescence-guided surgery cameras [2]. There are also early clinical examples that make use of the NIR dyes IRDye 800CW (λex max = 783 nm, λem max = 801 nm) and ZW800-1 (λex max = 770 nm, λem max = 788 nm) [3, 4]. Interestingly, next to NIR dyes, visible dyes, such as Fluorescein (λex max = 488 nm, λem max = 515 nm), have been successfully employed in various surgical guidance settings: FITC, CEA-FITC and Folate-FITC [5,6,7,8,9,10]. Clinical examples that use (far-)red fluorescence to guide surgical excisions, using, for example, methylene blue (λex max = 670 nm, λem max = 680 nm), Protoporphyrin IX (λex max = 405 nm, λem max = 635 nm) and GE-137 (λex max = 645 nm, λem max = 661 nm) [9,10,13], complete the list. Some of these applications contradict the popular (theoretical) notion that suggests that only NIR dyes are of value for surgical guidance due to spectral advantages, such as invisibility to the human eye and tissue penetration up to 1 cm [14]. Hence, the successful in vivo implementation of non-NIR dyes underscores that in practice, not only the emission wavelengths impact on the usability, but a far more complex combination of light source/camera settings and photophysical dye properties actually dictate a dye’s clinical potential.
The realization that different fluorescent emissions could provide value during fluorescence-guided surgery applications provides the possibility of exploring multi-wavelength (so-called multispectral, multiplexing or multi-color) surgical guidance applications [15], where different anatomical structures are visualized during surgery (e.g. tumor, lymphatics and nerves) [16,17,18,19,20,21,22]. While routine in microscopy, fluorescence multiplexing has, to date, only found limited use in vivo. Intriguingly, a previous study wherein Fluorescein and ICG were both implemented in a robot-assisted laparoscopic surgery setting [9, 23] revealed that both dyes could be visualized simultaneously in vivo. However, as the dyes could be visualized with seemingly similar intensities, the requirements for dye visibility under in vivo conditions remained unclear.
With this study, we aimed to address the direct relation between the light source/camera settings of the Firefly laparoscopic imaging systems of the da Vinci Si and Xi surgical robots and their performance with respect to the photophysical properties of the FDA-approved dyes Fluorescein and ICG (Fig. 1). In doing so, we also directly compare a conventional laparoscopic camera arrangement (the Si Firefly system, where the camera is located outside of the patient at the end of a scope) to an endoscopy-derived chip-on-a-tip arrangement (Xi Firefly system, where the camera is located inside of the patient).
Methods
Fluorescence camera systems
The Firefly camera systems used for this study were integrated into robotic surgery systems (da Vinci Si and Xi; Intuitive Surgical Inc.). Both vision carts use an externally placed light source containing an arrangement of 4 LEDs to create a well-balanced white light illumination during normal surgery (i.e. white light imaging mode) and a laser source for excitation of ICG during fluorescence imaging (Fig. 1a, b) [24]. The camera system, however, differs substantially between the two systems. The Si system uses an externally placed camera, which images inside the patient via a laparoscope optic, while the Xi system relies on a chip-on-a-tip configuration that is directly placed inside the patient (Fig. 1c). For the Si system, images could be recorded in three modes: white light, unprocessed fluorescence and processed fluorescence imaging. For the Xi system, images could only be recorded in white light and processed fluorescence imaging modes.
Fluorophore photon flux
To determine the theoretical differences in fluorophore brightness, the photon flux of both Fluorescein (Fluorescite, 100 mg/ml solution for injection, S.A. Alcon-Couvreur NV, Belgium) and ICG (ICG-Pulsion, 25 mg vial; Pulsion Medical Systems, Munich, Germany) were estimated based on their photophysical properties (i.e. molar extinction coefficient, fluorescence lifetime [25] and quantum yield). Since these properties can be influenced significantly by the fluorophore-dissolving medium, a human serum albumin (HSA) medium was chosen to approximate the in vivo application.
Molar extinction coefficient of Fluorescein and ICG
A 4 mM stock solution of fluorophore (i.e. either Fluorescein or ICG) was prepared in a DMSO-d6 (800 µL) medium with 4 mM ethylene carbonate. The exact concentration was verified by NMR using ethylene carbonate as internal standard [26]. This was further diluted with H2O containing 100 mg/mL HSA to obtain a final concentration series of 5, 2.5, 1.2, 0.6, and 0.3 µM. Absorption spectra were measured 10 min after preparation using 1 mL disposable plastic cuvettes (l = 1 cm; Brand, Germany) and an Ultrospec 3000 UV/Vis spectrometer (GE Healthcare Chicago, Illinois, USA). The maximum absorbance was determined, where after the molar extinction coefficient ε was determined from the linear regression coefficient.
Quantum yield of Fluorescein and ICG
Fluorescein and ICG were each dissolved in H2O containing 100 mg/mL HSA to obtain 3 mL 0.5 µM in 4.5 mL cuvettes (l = 1 cm; Kartell, Germany). Fluorescence intensities were measured using a Perkin Elmer LS-55 fluorescence spectrometer (Waltham, Massachusetts, USA) using excitations at λex = 460 nm for Fluorescein and λex = 736 nm for ICG and collecting the signal from 350 to 750 nm and 600 to 900 nm, respectively. To determine the quantum yield QF, the absorbance at the excitation wavelengths was correlated with the integrated fluorescent emission. The regression coefficient of the resulting plots was compared to the regression coefficients of dye solutions with known quantum yields: Fluorescein in 0.1 M NaOH (QF = 93%) [27] or ICG in DMSO (QF = 12%) [28].
Relative photon flux of Fluorescein and ICG
The relative photon flux of Fluorescein and ICG was calculated as shown by Chin et al. [29]. For one, dyes absorb excitation light based on their optical cross section (σ; cm2/molecule). This feature was calculated from the extinction coefficient, (ε; L·mol−1·cm−1) using the following formula, where Na is Avogadro’s constant (Na = 6.022·1023 molecules/mol):
By multiplying σ with the excitation intensity (I0), the rate constant of absorption (ka) for a single fluorophore molecule can be calculated. Here, I0 is given as:
with P the excitation power (W/cm2), h Planck’s constant (h = 6.626·10–34 J·s), c the speed of light in vacuum (c = 2.998·1010 cm/s) and λ the excitation wavelength (in cm). For the relative comparison, an equal excitation power P was assumed of 1·10–3 W/cm2. λ was chosen as 488 nm for Fluorescein and 800 nm for ICG. To subsequently determine the fraction of molecules in the excited state (w), the rate constant (kf) for relaxation was also included, which is the inverse of the fluorescence lifetime (τ1/2 in s). w was calculated when these features are combined in the formula:
By further combining the outcome of this formula with the fluorescence quantum yield QF, the conversion of excitation light into an expected average photon flux per fluorophore molecule (in photons/s) could be calculated:
In this calculation, the influence of tissue attenuation and autofluorescence were neglected and the presence of an excess of albumin preventing fluorophore self-quenching was assumed.
Fluorophore luminescence quantification
The relation between the fluorophore concentration and the luminescence signal was evaluated using a dilution series of Fluorescein and ICG. Both dilution series were prepared in black well plates (96-wells, Cellstar; Greiner Bio-One GmbH, Frickenhausen, Germany) with each well containing 50 μL of solution. Fluorescein was converted into a 5.0 mg/mL (13.3 × 10−3 M) starting solution. This solution was diluted 1:1 with a 100 mg/mL HSA in water in 35 steps down to 1.46 × 10−10 mg/mL (3.87 × 10−13 M). ICG was diluted in the same fashion starting from a 5.0 mg/mL (6.45 × 10−3 M) solution down to 1.46 × 10−10 mg/mL (1.88 × 10−13 M). Subsequently, the fluorescence intensities of both dye dilution series were measured using an IVIS preclinical camera system (IVIS Spectrum, Xenogen Corporation, San Francisco, CA, USA). For Fluorescein, λex = 465 nm and λem = 540 nm were used, for ICG, λex = 745 and λem = 800 nm. Quantification of these measurements was performed using the accompanying IVIS Living Image 3D analysis software (version 1.0; Xenogen Corporation). With this software, the average radiance (in photons/s/cm2/sr) was determined for all dye containing wells. These measurements were background corrected using a well with only HSA solution present and normalized per fluorophore.
Spectral characterization of the Firefly illumination sources
To study the efficiency with which the Firefly illumination source, incorporated in either the Xi or Si system, can excite both Fluorescein and ICG, the illumination characteristics were studied using a Horiba Jobin Yvon VS140 linear array fiber spectrometer (Horiba Ltd., Kyoto, Japan) with a 1 m optical fiber (M15L01, Thorlabs Inc., Newton, NJ, USA). This was done for the Si and Xi systems in both white light and fluorescence imaging modes. Subsequently, the effective overlap between the dye absorption spectrum (f(x), in counts/s) and the Firefly excitation light spectrum (g(x), in counts/s) at the specific wavelengths (x, in nm) was determined. Estimation of the effective excitation intensity (\({Ex}_{eff}\) in counts × nm/s), was realized using the following formula:
where \(\frac{f(x)}{{f(x)}_{max}}\) presents the normalized dye absorption spectrum and h(x) is the weighted excitation light spectrum. These calculations were performed in MATLAB (MathWorks Inc., Natick, MA, USA). An illustration of this calculation is shown in Fig. 2.
By combing the effective excitation factors (Exeff) of the Firefly systems with the dye photon fluxes, an estimation for the fluorophore-expected-light-yield was determined using the following formula:
Firefly detection sensitivity for Fluorescein and ICG
The detection sensitivity of both the Si and Xi Firefly systems was determined using Fluorescein and ICG dilution series similar to those used for luminescence quantification. Evaluation was performed in a setup wherein the two different Firefly cameras were fixed perpendicularly at a 1 cm distance from the well-plate surface. During imaging, the ambient light was dimmed, and images were recorded at the different camera settings (i.e. white light, unprocessed fluorescence and processed fluorescence imaging with the Firefly Si; white light and processed fluorescence with the Firefly Xi).
In vivo evaluation
In vivo performance of multispectral fluorescence imaging using Fluorescein and ICG was evaluated in 5 male pigs, as previously described [23]. To allow independent visualization of the lymphatics draining the legs and the prostate, Fluorescein was injected into the lower limb, while ICG-nanocolloid was injected directly into the prostate. For Fluorescein, a 5 mL 100 mg/mL solution was used, injected with either 2 deposits (subcutaneous and intramuscular) in a single leg or with 4 deposits (subcutaneous and intramuscular) in both legs of the animal. ICG-nanocolloid was injected as a 2 mL 0.125 mg/mL solution using 2–4 deposits.
Results
Fluorophore photon flux
From the differences in estimated photon flux, it becomes evident that in a surgically relevant environment (i.e. HSA containing medium), the number of emitted photons per second by ICG is about twice as high as by Fluorescein (Table 1). It is important to note that under these HSA conditions, the quantum yield for Fluorescein (12%) is significantly lower than what is often reported (93% [27]).
Fluorophore luminescence quantification
Quantification of the fluorescence intensities of the Fluorescein-HSA and ICG-HSA well-plate dilution series revealed a clear concentration dependence for both the dyes (Figs. 3 and 4). At low concentrations, detected luminescence rapidly increased with concentration. However, at higher concentrations, the photon flux flattened and eventually even started degrading again. This is most likely a result of self-quenching and was more prominent for ICG (turning point around 5 × 10–5 M) as compared to Fluorescein (turning point around 4 × 10–4 M). This result indicates Fluorescein can be used more efficiently at high concentrations.
Spectral characterization of the Firefly Si vs. Xi illumination sources
Figure 1b shows the spectral properties of the Firefly Si and Xi light sources with respect to the Fluorescein and ICG absorption and emission curves. Both Si and Xi systems displayed a very similar spectrum formed by a combination of different LEDs, for imaging of the surgical context, and a NIR laser for ICG excitation. However, illumination levels of the individual components did differ. Especially the blue illumination and NIR illumination of the Xi system in fluorescence imaging mode were higher as compared to the Si system in fluorescence imaging mode (Fig. 1b). In the white light modus of both systems, there is a clear overlap between the blue illumination peak (λex max = ~ 460 nm) and the absorption spectrum of Fluorescein (λex max = 488 nm; Fig. 1b). This explains why Fluorescein is excited in the white light imaging setting of both Si and Xi systems. In the fluorescence mode of both systems, a small (relative to NIR illumination) but distinct blue emission peak remains visible, still supporting the excitation of Fluorescein. However, as shown by the calculated effective excitation intensities of the Si system, the blue-light intensity in fluorescence mode was five times lower compared to its intensity in the white light mode (Table 2). For the Xi system, the effective Fluorescein excitation was very similar in fluorescence and white light imaging modes (Table 2). In the fluorescence modus, the NIR illumination peak (λex max = ~ 800 nm) overlaps with the absorption spectrum of ICG (λex max = 800 nm). In the Xi system, the ICG excitation source appeared to be roughly two times more intense than in the Si system, while maintaining its general characteristics (Table 2). When compared to ICG excitation in the fluorescence imaging mode, the effective Fluorescein excitation was 117 times lower for the Si system and 40 times lower for the Xi system. When taking the twofold higher photon flux for ICG (Table 1) into account, the normalized fluorophore-expected-light-yield with these systems is: FluoresceinSi = 1, ICGSi = 304.4, FluoresceinXi = 5 and ICGXi = 541.2 (values were normalized to Fluorescein application with the Si system). The relative Fluorescein light yield should, therefore, be five times higher for the Xi system as compared to the Si system. For both systems, the laser-excited ICG light yield was shown to exceed that of LED-excited Fluorescein: ~ 300-times with the Si and ~ 500-times with the Xi.
Firefly Si vs. Xi detection sensitivity for Fluorescein and ICG
Evaluation of Fluorescein and ICG dilution series with the Si and Xi Firefly using the different white light and fluorescence imaging settings (Fig. 3) allowed us to determine the lowest detectable fluorophore concentrations (Table 3), not only revealing differences between unprocessed and processed fluorescence intensities for the Si Firefly (respectively, Siunprocessed and Siprocessed) but also between Siprocessed and the processed intensities found for the Xi Firefly (Xiprocessed). When combined with the fluorescence luminescence quantification, a similar detection sensitivity was found for FluoresceinSiunprocessed and FluoresceinSiprocessed: a fluorophore concentration of 1.04 × 10–4 M, providing a normalized radiance of 65.0 × 10–2. The FluoresceinXiprocessed sensitivity was 1.30 × 10–5 M (normalized radiance: 11.1 × 10–2). This converts to a rough relative light-level factor that is 6-times weaker compared to FluoresceinSiprocessed. When related to the differences in fluorophore-expected-light-yield (i.e. 5 times higher for Xi compared to Si Fluorescein imaging; Table 2), this indicates the Xi system benefits from an additional gain in Fluorescein sensitivity due to image processing and/or detector sensitivity.
The ICGSiprocessed detection of 1.97 × 10–7 M (normalized radiance: 4.70 × 10–2) was about four times more sensitive than the ICGSiunprocessed detection (1.58 × 10–6 M; IVIS light level: 20.0 × 10–2), suggesting that the processing yields a fourfold artificial enhancement of the detection sensitivity. With a similar calculation, the relative fluorescence imaging sensitivity of ICGXiprocessed (2.46 × 10–8 M; IVIS light level: 1.15 × 10–2) was found to be fourfold higher than for ICGSiprocessed. When the differences in the fluorophore-expected-light-yield (i.e. roughly 2 times higher for Xi compared to Si; Table 2) are considered, the additional yield in ICG sensitivity for the Xi system suggests a difference in processing and/or detector sensitivity between the two vision carts. Given the difference in the location of the detector between the Xi and Si system, the sensitivity difference could possibly also be contributed to the location of the detector (Si: camera at the end of the laparoscope vs. Xi: chip-on-a tip).
In vivo multi-wavelength imaging
In all 5 pigs, both ICG (in the ICG-nanocolloid formulation) and Fluorescein could be visualized in one and the same image (Fig. 5), a further confirmation that both Fluorescein and ICG can be visualized in vivo using the Firefly fluorescence imaging systems. Lymphangiography with a relatively high concentration of Fluorescein supported identification of lymphatics draining the legs, while specific nodal accumulation of ICG-nanocolloid in relatively low concentrations helped visualize the sentinel lymph nodes of the prostate [23]. The white light imaging mode of both the Si and Xi system already supported visual detection of Fluorescein. In the processed fluorescence images of the Xi system, both the Fluorescein and ICG signal were displayed as bright green, which complicated the differentiation between the two lymphatic drainage patterns in this mode (Fig. 5). However, the emissions could be clearly separated based on the unprocessed fluorescence images of the Si system (Fluorescein in yellow/green and ICG in pink/red; Fig. 5). As evident from Tables 1, 2 and 3, both Si and Xi Firefly cameras apply much higher excitation power for ICG as compared to Fluorescein, while ICG photon flux also exceeds that of Fluorescein in HSA medium. Nonetheless, similar visibility for both dyes was achieved in vivo using either system (Fig. 5). From this, it can be deduced that the dye concentrations in the depicted lymphatic structures must have differed. As was previously derived from clinical experience using ICG-nanocolloid, a typical median ICG dose value found in the sentinel nodes of prostate cancer patients is 2.86 × 10–6 M [30]. Since quantitative evaluation revealed that the minimal detectable Fluorescein concentration with the Si system in fluorescence mode was about 1.04 × 10–4 M (Table 3), it can be concluded that a Fluorescein dose of at least 1.04 × 10–4 M must have been present in the lymph nodes at the time of imaging. This converts to a rough concentration difference of ≥ 102. With the increased Fluorescein excitation of the Xi system (Tables 2 and 3), this difference was reduced to ≥ 10.
Discussion
In this study, the technical background of in vivo multi-wavelength fluorescence imaging using Fluorescein and ICG and clinically available fluorescence cameras of the da Vinci Si and Xi robotic platforms was evaluated. Our findings indicate that multiplexing of fluorescent tracers using clinical modalities, such as the Firefly-camera is possible, but that detectability is an intricate interplay of photophysical dye properties, vision cart settings, optics, and the concentration of dye with relation to the in vivo visibility. Although the Si and Xi Firefly systems are specifically designed for imaging of ICG, our findings underline that their imaging properties also facilitate in vivo Fluorescein imaging.
Our findings clearly reveal a difference in performance between the two camera systems and for the two dyes. With regard to the photophysical properties of the FDA-approved dyes ICG and Fluorescein we found: (1) The ICG photon flux in a surgically relevant environment (i.e. HSA medium) is roughly 2 times higher compared to Fluorescein and (2) Fluorescein can be used more efficiently in higher concentrations since self-quenching starts at roughly 10 times higher concentrations with respect to ICG. Differences were also found with regard to the fluorescence imaging settings of the Si and Xi vision carts. Starting with the light source properties: (1) The effective excitation of ICG is much higher than of Fluorescein for both systems (~ 117 times and ~ 40 times with the Si and Xi light source, respectively); (2) In fluorescence imaging mode, the Xi light source has 5 times more effective Fluorescein excitation as compared to the Si system; (3) The NIR laser in the Xi light source provides a 2 times more effective ICG excitation as compared to the Si light source. A similar trend was observed for the camera systems: (1) In fluorescence imaging mode, the Xi camera system is roughly 6 times more sensitive for Fluorescein detection as compared to the Si system; (2) The Xi camera is about 4 times more sensitive in ICG imaging as compared to the Si camera. Overall, this means the technical data indicate the Xi vison cart can be considered the superior of the two. Nevertheless, both systems effectively support in vivo imaging of Fluorescein. By comparing the Si and Xi Firefly systems, we also made a direct comparison between a conventional laparoscopic camera configuration (camera at the end of a scope; Si) and an endoscopy-derived chip-on-a-tip configuration (Xi). It seems that at least part of the improved performance characteristics of the Xi system can be contributed to the intensity of the light source. Nevertheless, the discrepancy between the twofold increase in ICG excitation and the fourfold increase in detection sensitivity, suggests that reducing the light path between the fluorescent source and detector could have a positive impact on the camera performance. It is not clear how much and/or which part of this intensity improvement is related to the image processing software that the system uses or an improvement in the detector sensitivity.
In the area of multi-wavelength fluorescence-guided surgery, there is much debate about the requirement of realizing fully integrated multi-color fluorescence images (as shown in this study) versus sequential image acquisition as was shown previously using an alternative system [9, 31]. During the surgical implementation of Firefly fluorescence guidance, it is routine that the white-light mode is used during most of the procedure, since white light allows for the best visual inspection of the surgical field, while the fluorescence mode is only used when better discrimination of the target tissue is needed, often following surgical exposure of the tissue. In a similar fashion, sequential imaging of Fluorescein and ICG has helped to clinically differentiate between (target) tissues [9, 17, 32]. However, simultaneously depicting two fluorescence tracers over an anatomical background (Fig. 5), eases the visual separation of these different (target) tissues within the surgical field. This suggests that both options could have potential. What is of great importance, however, is that color-coding-based differentiation of the fluorescence signals (as was observed in the unprocessed Si images) improves interpretation compared to a situation where both fluorescent emissions are depicted in the same color (Fig. 5).
During this study, clinically approved dyes were used in combination with FDA-approved camera systems, whereby the latter were designed specifically for ICG imaging. With regard to the in vivo utility for multi-wavelength surgical guidance, two utility-related observations could be made: (1) Despite being optimized for ICG, both Firefly systems are able to simultaneously visualize Fluorescein and ICG in vivo; (2) To obtain similar visualization of Fluorescein and ICG-nanocolloid in vivo, using the current Si and Xi systems, a rough concentration increase of at least 102-times (Si) or 10 times (Xi) was necessary for Fluorescein. With a clinical Fluorescein dose of 6.7 mg/kg (or 20 nmol/kg) [33] and dose of 0.3 mg/kg (or 0.4 nmol/kg) [34] for ICG, this feature is not limiting. This means that the current multispectral imaging setup can be readily translated into human subjects. Additionally, as showed in a different study, a slightly modified Si Firefly system also allowed for the imaging of the far-red dye Cy5 [35]. Combined these points indicate that the implementation of future technical refinements to the Firefly systems could result in a complete multispectral camera system that is fully compatible with the da Vinci surgical robot. This feature, combined with the wide install base of Intuitive, could help disseminate the use of multi-wavelength image guidance.
Conclusion
The ability to clearly image both Fluorescein and ICG in a surgical setting using da Vinci clinical-grade vision carts (Firefly Si (camera at the end of a laparoscope) and Xi (chip-on-a-tip arrangement)) underscores that wavelength-dependent tissue penetration does not fully dictate in vivo utility, but a more complex balance including the dye photophysical properties, dye concentration/accumulation and fluorescence imaging settings. By underscoring that visible dyes have a value during in vivo imaging applications as well, another step has been made towards the routine implementation of optical technologies for image-guided surgery purposes.
Availability of data and materials
If not already present in the manuscript, all remaining datasets used during the current study are available from the corresponding author on reasonable request.
Code availability
Not applicable.
References
Gibbs SL (2012) Near infrared fluorescence for image-guided surgery. Quant Imaging Med Surg 2(3):177–187
Alander JT et al (2012) A review of indocyanine green fluorescent imaging in surgery. Int J Biomed Imaging 2012:940585
Rosenthal EL et al (2015) Safety and tumor specificity of cetuximab-IRDye800 for surgical navigation in head and neck cancer. Clin Cancer Res 21(16):3658–3666
de Valk KS et al (2019) A zwitterionic near-infrared fluorophore for real-time ureter identification during laparoscopic abdominopelvic surgery. Nat Commun 10(1):3118
Folli S et al (1992) Immunophotodiagnosis of colon carcinomas in patients injected with fluoresceinated chimeric antibodies against carcinoembryonic antigen. Proc Natl Acad Sci U S A 89(17):7973–7977
Lee CM et al (2017) Sentinel node mapping using a fluorescent dye and visible light during laparoscopic gastrectomy for early gastric cancer: result of a prospective study from a single institute. Ann Surg 265(4):766–773
Sun JY et al (2014) In vivo optical imaging of folate receptor-β in head and neck squamous cell carcinoma. Laryngoscope 124(8):E312–E319
van Dam GM et al (2011) Intraoperative tumor-specific fluorescence imaging in ovarian cancer by folate receptor-α targeting: first in-human results. Nat Med 17(10):1315–1319
van den Berg NS et al (2017) Multispectral fluorescence imaging during robot-assisted laparoscopic sentinel node biopsy: a first step towards a fluorescence-based anatomic roadmap. Eur Urol 72(1):110–117
van Leeuwen FW, Hardwick JC, van Erkel AR (2015) Luminescence-based imaging approaches in the field of interventional molecular imaging. Radiology 276(1):12–29
Burggraaf J et al (2015) Detection of colorectal polyps in humans using an intravenously administered fluorescent peptide targeted against c-Met. Nat Med 21(8):955–961
Roberts DW et al (2018) Red-light excitation of protoporphyrin IX fluorescence for subsurface tumor detection. J Neurosurg 128(6):1690–1697
Yeung TM et al (2016) Identifying ureters in situ under fluorescence during laparoscopic and open colorectal surgery. Ann Surg 263(1):e1-2
Gioux S, Choi HS, Frangioni JV (2010) Image-guided surgery using invisible near-infrared light: fundamentals of clinical translation. Mol Imaging 9(5):237–255
van Beurden F et al (2020) Multi-wavelength Fluorescence in image-guided surgery, clinical feasibility and future perspectives. Mol Imaging 19:153601212096233
van Willigen DM et al (2017) Multispectral fluorescence guided surgery; a feasibility study in a phantom using a clinical-grade laparoscopic camera system. Am J Nucl Med Mol Imaging 7(3):138–147
Acerbi F et al (2016) Feasibility of simultaneous sodium fluorescein and indocyanine green injection in neurosurgical procedures. Clin Neurol Neurosurg 146:123–129
Della Puppa A et al (2019) Combined fluorescence using 5-aminolevulinic acid and fluorescein sodium at glioblastoma border: intraoperative findings and histopathologic data about 3 newly diagnosed consecutive cases. World Neurosurg 122:e856–e863
Kaibori M et al (2016) Intraoperative detection of superficial liver tumors by fluorescence imaging using indocyanine green and 5-aminolevulinic acid. Anticancer Res 36(4):1841–1849
Schwake M et al (2015) Simultaneous fluorescein sodium and 5-ALA in fluorescence-guided glioma surgery. Acta Neurochir (Wien) 157(5):877–879
Yano H et al (2017) Pathological analysis of the surgical margins of resected glioblastomas excised using photodynamic visualization with both 5-aminolevulinic acid and fluorescein sodium. J Neurooncol 133(2):389–397
Suero Molina E et al (2018) Dual-labeling with 5-aminolevulinic acid and fluorescein for fluorescence-guided resection of high-grade gliomas: technical note. J Neurosurg 128(2):399–405
Meershoek P et al (2018) Multispectral-fluorescence imaging as a tool to separate healthy from disease-related lymphatic anatomy during robot-assisted laparoscopy. J Nucl Med 59(11):1757–1760
Moore FA (2015) Full spectrum LED illuminator. Google Patents
Berezin MY, Achilefu S (2010) Fluorescence lifetime measurements and biological imaging. Chem Rev 110(5):2641–2684
van der Wal S et al (2016) Synthesis and systematic evaluation of symmetric sulfonated centrally CC bonded cyanine near-infrared dyes for protein labelling. Dyes Pigment 132:7–19
Sjöback R, Nygren J, Kubista M (1995) Absorption and fluorescence properties of fluorescein. Spectrochim Acta Part A Mol Biomol Spectrosc 51(6):L7–L21
Benson RC, Kues HA (1978) Fluorescence properties of indocyanine green as related to angiography. Phys Med Biol 23(1):159–163
Chin PTK et al (2013) Optical imaging as an expansion of nuclear medicine: cerenkov-based luminescence vs. fluorescence-based luminescence. Eur J Nucl Med Mol Imaging 40(8):1283–1291
KleinJan GH et al (2016) Fluorescence guided surgery and tracer-dose, fact or fiction? Eur J Nucl Med Mol Imaging 43(10):1857–1867
Laios A et al (2015) A prospective pilot study of detection of sentinel lymph nodes in gynaecological cancers using a novel near infrared fluorescence imaging system. BMC Res Notes 8(1):608
Lane B, Bohnstedt BN, Cohen-Gadol AA (2015) A prospective comparative study of microscope-integrated intraoperative fluorescein and indocyanine videoangiography for clip ligation of complex cerebral aneurysms. J Neurosurg 122(3):618–626
Shahid MW et al (2011) Exploring the optimal fluorescein dose in probe-based confocal laser endomicroscopy for colonic imaging. J Interv Gastroenterol 1(4):166–171
Manny TB, Patel M, Hemal AK (2014) Fluorescence-enhanced robotic radical prostatectomy using real-time lymphangiography and tissue marking with percutaneous injection of unconjugated indocyanine green: the initial clinical experience in 50 patients. Eur Urol 65(6):1162–1168
Schottelius M et al (2019) Synthesis and preclinical characterization of the PSMA-targeted hybrid tracer PSMA-I&F for nuclear and fluorescence imaging of prostate cancer. J Nucl Med 60(1):71–78
Funding
This research was funded by an NWO-STW-VIDI grant (STW BGT11272) and an NWO-TTW-VICI Grant (TTW 16141). In kind support was provided by Intuitive Surgical Inc. providing a standalone Si Firefly system for the experiments.
Author information
Authors and Affiliations
Contributions
PM, GHK, DMW, KPB, SJS, EJG, HGP, TB—Organized the measurements and performed critical drafting of the manuscript; FB—Performed critical drafting of the manuscript; AMM, FWBL, MNO—Designed the study, organized the measurements and preformed critical drafting of the manuscript.
Corresponding author
Ethics declarations
Conflict of interest
KPB, AMM and FWBvL are (partly) employed by ORSI Academy, a surgical training center.
Ethics approval
We followed our institutional policies for the use of animals in our research.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Meershoek, P., KleinJan, G.H., van Willigen, D.M. et al. Multi-wavelength fluorescence imaging with a da Vinci Firefly—a technical look behind the scenes. J Robotic Surg 15, 751–760 (2021). https://doi.org/10.1007/s11701-020-01170-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11701-020-01170-8