1.IntroductionMultimodal imaging contrast agents have been developed for a range of biomedical applications.1 The combination of photoacoustic imaging (PAI) with x-ray computed tomography (CT) has been explored in prior preclinical studies using functional nanoparticles.2,3 PAI is a low-cost imaging modality that can detect optical contrast at depth without ionizing radiation,4–11 while x-ray and CT contrast imaging are powerful whole-body imaging techniques used in clinical diagnostic imaging.12–14 In PAI, optical contrast agents that absorb in the near infrared region-II (NIR-II) have emerged as promising since they can be imaged at deeper penetration depths with reduced tissue scattering in the 1000 to 1700-nm region.4,15–21 Small molecule chromophores with defined molecular structures have proven to be useful for PAI in the NIR-II.22–25 Our group has recently demonstrated that commercially available NIR-II dyes can be formulated with biocompatible surfactants for parenteral administration to mice.26,27 Numerous orally ingested contrast agents have been developed, with perhaps none being as commonly used as barium sulfate.28 Barium sulfate is a generally safe and inert material that does not interact with the human body and has commonly been used in CT imaging of the gastrointestinal tract to provide a method for visualizing transit.29–31 Another common application is its usage in human swallow tests. In practice, contrast agents that are used should be able to pass through the gastrointestinal tract without being absorbed into the body or degrading due to the pH environment. Absorption into the body would cause several issues including potential toxicity, disruption of background signal, and a less intense signal from the gastrointestinal tract in focus.32 PAI has been used in preclinical studies to image the gastrointestinal tract.33–35 A pilot study in healthy volunteers showed that roasted barley could be detected in the esophagus during human swallowing.36 NIR-II contrast agents that are compatible with the Nd-YAG 1064-nm laser wavelength often used in PAI have high sensitivity; however, these could benefit from additional imaging information. The use of a second imaging modality such as CT could be used for validation, orientation, and acquisition of signal independent of PAI.37–39 In combination, the use of ionizing beam energy could be minimized to only be used intermittently for orientation along with the continuous use of the non-ionizing PAI technique. A strong contrast agent for PAI would be helpful to overcome the high background scatter and absorbance of tissues, including absorbance from blood vessels, which can be detected with no contrast agent.40,41 PAI for guided surgeries has been used in mice with dyes and nanoparticles that absorb in the NIR-II region (1000 to 1700 nm).42,43 In the current study, we examined the admixture of common NIR-II dyes and barium sulfate to generate a simple to prepare dual modality orally administered contrast agent for CT and PAI. 2.ResultsA mixture of barium sulfate and commercial NIR-II dyes was sonicated in water to form a simple suspension. At the concentrations used, no obvious interactions between the insoluble barium particles and the dyes were observed by visual inspection. An illustration of the formulation method is shown [Fig. 1(a)] along with a white light image of each of the thirteen dye formulations tested for a photoacoustic signal [Fig. 1(b)]. Out of the commercial thirteen dyes tested, only nine had reported structures, which are shown in Fig. 1(c). Some dyes had similar chemical pigment structures, but with different counter ions. The contrast admixture was evaluated in an initial screening step based on three criteria: pigment separation, stickiness to the tube wall, and NIR-II absorption features. Separation of pigment and barium could lead to variation in administered doses, and would therefore be problematic; thus, relative homogeneity and minimal dye separation were desirable. Some pigments that did not become evenly suspended in the barium sulfate ended up floating on the top surface: 1065A, 920MC, and 1966. Likewise, wall stickiness was used to eliminate pigments that apparently had affinity to the surface of the glass vials that could also lead to a lack of homogeneity. 3958, 3734, 1448, and 11,767 were found to adsorb the most to the wall. The maximum absorption wavelength of each pigment, when dissolved in water or methanol, was determined experimentally and is given in Table 1. Most dyes had absorption wavelength maxima close to 1000 nm. Table 1Barium pigment admixture features.
Parameters were defined as: 0- low, 1- medium, and 2-high. Next, the NIR-II contrast parameters were determined (Fig. 2), and optical absorbance measurements were measured after centrifugation. Admixtures of each pigment were prepared, followed by centrifugation and assessing the absorbance of each at the wavelength of maximum absorption intensity and also 1064 nm. From these measurements, the calculated absorbance was determined by multiplying the measured absorbance values by the dilution factor. The absorbance measurements of the aqueous supernatant (diluted in methanol) were compared to the absorbance measurements of the pellet (re-dissolved in methanol). A dye with a high pellet and low supernatant absorbance would indicate the dye has low solubility in the mixture. Dyes with high solubility in water (1451, 7630, 1966, and 3958) were deemed to be nondesirable, since those could be more likely to get absorbed from the GI tract into systemic circulation. It should be noted that poorly water soluble dyes are not necessarily safe for oral administration since they could still be absorbed into systemic administration or alternatively become lodged in the GI tract. Nevertheless, dyes with a high pellet signal and low water soluble absorbance were advanced for further consideration. After these screening steps, the dyes that were examined further were 11767, 1452, and 1968. The three promising pigments had similar optical absorption spectra with peak absorption in methanol above 1000 nm [Fig. 3(a)]. 11,767 and 1452 correspond to the same chromophore molecular structure, just complexed with a different counterion; therefore, their identical absorption spectra are not unexpected. Phantom imaging was used to compare barium-pigment mixtures of three promising pigments [Fig. 3(b)]. Signal-to-noise ratio (SNR) results were normalized with respect to the 1968 dye at a concentration of 5 mg/ml. The signal intensity did not show a linear trend, as concentrations of 0.5 to 1 mg/ml pigment had similar SNRs. However, at 5 mg/ml pigment, PA signals increased, and hence we used the 5 mg/ml pigment concentration for further study. PAI microscopy of this formulation revealed that the dye forms relatively large microaggregates, which are larger than the barium suspension particles and do not represent a homogenous mixture [Fig. 3(c)]. After pigment screening led to the selection of 1968 for further study, x-ray images were obtained to evaluate the barium signal. The barium-pigment admixture was placed in a phantom at different concentrations to test the signal strength [Fig. 4(a)]. X-ray contrast was apparent during imaging. In Fig. 4(b), the phantom was evaluated with quantification of average pixel values, revealing a linear trend with respect to barium concentration and signal strength. Figure 4(c) shows a negligible difference between barium and the addition of dye to the phantom. The barium sulfate concentration was chosen to be 40% w/v due to the strong x-ray contrast signal as well as to match commercial orally-administered barium sulfate suspensions. Ex-vivo intestinal imaging was used to assess the barium-1968 admixture. 4 h following oral gavage, mice were sacrificed and the GI tract was excised for imaging. As shown in Fig. 5, compared to a control mouse, the PA signal was strongly observed. X-ray contrasts were also apparent within the intestines. Importantly, the x-ray contrast was generally consistent with the PA contrast with respect to anatomical localization in the intestine and stomach. Whole-body imaging was next acquired (Fig. 6). The top row displays x-ray images of three different mice: one control mouse along with two experimental mice four hours post-gavage. Each of the mice was imaged with PAI at the same time point. There was minimal signal in the control, illustrating high PAI sensitivity to this contrast agent. The x-ray modality shows the spatial resolution of the entire mouse, including skeletal features, while PAI gives a strong signal only where the contrast agent is present. In-vivo PAI was next acquired using a setup as shown in Fig. S1 in the Supplementary Materials. Mice were gavaged with barium-1968 and imaged under anesthesia 1 hour later. As shown in Fig. S2A in the Supplementary Materials, in the mice that received contrast administration, the outline of the PA contrast in the intestine was clearly visible, whereas a control mouse that did not receive the contrast agent did not show strong PA signals. Furthermore, region of interest analysis was performed to detect the movement of the contrast through the intestine. As shown in Fig. S2B in the Supplementary Materials, the rate of peristalsis was roughly 24 Hz, which is consistent with the expected values.33 The tolerability of barium-1968 contrast agent was assessed by weight monitoring following a single gavage dose. No differences in weight were detected in the thirteen days of monitoring post-gavage compared to an untreated control group. A complete blood count (CBC) and sera panel were assessed following the weight monitoring. After the assessment of measured parameters, no unusual differences between the treatment group and control group were observed (Table S1 in the Supplementary Materials). 3.ConclusionIn summary, a contrast agent comprising a commercially available NIR-II contrast agent admixed with 40% w/v barium sulfate, was easily prepared and had inherent multimodal contrast imaging properties for photoacoustic and x-ray imaging. After oral administration in mice, in-vivo imaging showed similar patterns of localization of the barium-1968 pigment in both x-ray and PAI. While a preliminary study showed this contrast agent appeared safe in mice, future studies should explore excretion kinetics of the dye. Additional future studies should also determine the utility of this dye in different animal models for functional imaging purposes. 4.Appendix: Experimental Materials and Methods4.1.Contrast Agents920MC and 1065A pigments were purchased from American Dye Source (catalog numbers ADS920MC and ADS1065A, respectively). 7630, 3958, 3734, and 1906 were purchased from Sands Corp H. W. with catalog numbers: SDA7630, SDA3958, SDA3734, SDA1906, respectively. 1968, 1451, 1452, 1448, 8734, 1966, and 11767 were purchased from Spectrum Dyes & Chemicals with catalog numbers S01968, S01451, S01452, S01448, S08734, S01966, and S11767, respectively. For the three dyes examined in more detail after initial screening (11767, 1452, and 1968), purity, as provided by the supplier, was greater than 98%, 95%, and 96%, respectively. The 1968 dye had extinction coefficients of in methylene chloride and in methanol, as reported by the supplier. Barium sulfate was purchased from Sigma Aldrich (catalog number: 7727-43-7). 4.2.Barium Dye Preparation and Characterization5 mg of pigment was weighed and combined with 400 mg of barium, and water was added to bring the volume to 1 ml for a 40% w/v barium solution with 5 mg/ml of pigment. The mixture was sonicated for 30 min at room temperature. To determine the optical properties, of prepared contrast agent was removed and then centrifuged for 3 min at 1000 g. Then from the supernatant, was taken out without extracting any floating dye particles, and diluted into of methanol. Absorption readings were taken at both 1064 nm and the wavelength corresponding to the maximum absorbance. These two points were multiplied by 100 for calculated supernatant absorbance. For the pellet absorption, all of the supernatant was removed and of methanol was added. The background value from the presence of barium alone was subtracted. All absorbance measurements were carried out using a Perkin Elmer UV/Vis Lambda 365 spectrophotometer. Wall stickiness and dye separation were quantitatively ranked on a scale from 0–2 following visual observation, with each score representing low, medium, and high, respectively. Low wall stickiness reflects that the mixture showed little to no adsorption on the interior of the glass vial. If the vial were to be inverted, the residual mixture on the glass of the vials would slide down quickly to the bottom, as aqueous solutions do. High wall stickiness was defined by a lack of movement of the mixture down the vial walls after inversion suggesting the affinity for the glass surface. The same principles apply to dye separation in which the contents of the vial are observed visually to see if the mixture is homogenous following a 30-min sonication period. If multiple large aggregates of pigment are visible, the mixture would be classified as having high dye separation. 4.3.Photoacoustic ImagingPhotoacoustic experiments shared the same setup reported previously,44 as shown in Fig. S1 in the Supplementary Materials. For the imaging experiment, all animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) at University at Buffalo under the approved animal protocols. Before imaging, mice were first overnight fasted with access to only water. The following day, mice were prepared by shaving abdominal hair, and were gavaged with 0.2 ml of the 1968/barium contrast agent with a 20-min staggered gavage schedule. This would allow time to properly image the mice at the designated time points. The 0.2-ml dosage is the maximum gavage dosage for 20 g mice as recommended by the IACUC. The mice were then anesthetized in a sealed chamber of isoflurane prior to ultrasound gel being applied to the shaved abdominal region. One hour after the gavage, the mice were placed on the imaging window, and the ultrasound imaging modality was used to locate the contrast agent in the GI tract in real time prior to capturing the photoacoustic images of the region. The staggered timing of the gavages allows for ample time to locate the contrast agent and capture the photoacoustic images at accurate time points. The photoacoustic images capturing the dynamic intestine peristalsis used a customized transducer (Imasonics, Inc.) consisting of a 128-element linear transducer with a central frequency of 2.25 MHz and a length of 86mm. The transducer was parallel to the sagittal plane of mice with their intestines in the imaging plane of the transducer. Photoacoustic signal excitation comes from a 10-Hz pulsed Nd: YAG laser with 10 ns pulse duration and 1064 nm output. The laser output was coupled to an optical fiber bundle and redirected to the mouse. The laser output of the fiber was , which is below the American National Standards Institute (ANSI) safety limitation of for the 1064-nm wavelength.45 The ultrasound and photoacoustic data were acquired sequentially. For photoacoustic data, the raw channel data were received and reconstructed using the back-projection algorithm in MATLAB. The ultrasound data were reconstructed using the built-in program provided by Verasonics. For peristalttic movement, after finding the approximate central to lower abdominal region, 20 photoacoustic images were captured per second. These images were then compiled by MATLAB for region of interest analysis of contrast movement. 4.4.Photoacoustic MicroscopyTo measure the PA signals, we used a photoacoustic microscopy system, which is composed of a 1064 nm Q-switched Nd:YAG microchip laser (SNP-20F-100, Teem Photonics, France). The output laser beam was expanded and collimated by lens pair, whose focal length is 30 mm (AC254-050-AB, Thorlabs) and 75 mm (AC254-100-AB, Thorlabs), respectively. The collimated beam was focused by an objective lens (AC254-100-AB, Thorlabs) and passed to the customized opto-acoustic beam combiner, which is composed of two right-angle prisms (32-330 and 32-331, Edmund Optics), a correction lens (67-147, Edmund Optics), and an acoustic lens (45-358, Edmund Optics). The output beam from the beam combiner was reflected by a two-axis galvanometer scanner (GVS 102, Thorlabs) with the laboratory-developed waterproof method46 for volumetric scanning. It illuminated the sample through a window to transmit the optical beam and PA signal. To convert the generated PA signals into electrical signals, an ultrasound transducer (V214-BB-RM, Olympus NDT, Japan) was utilized and amplified by serially connected two-amplifiers (ZFL-500LN+, Mini-Circuits). The amplified analog signal was transformed into a 12-bit digital signal and recorded by the digitizer (ATS9350, Alazar Technologies, Canada). 4.5.X-Ray ImagingX-ray imaging was done in a custom-built Micro-CT47 with a pixel complementary metal-oxide semiconductor detector (Teledyne DALSA, Waterloo, Ontario). The mice were scanned using an Oxford Instruments (Oxford Instruments, Abingdon, United Kingdom) x-ray tube at a tube voltage of 70 kV, tube current of 1 mA, and thus tube energy of 70 W. Each x-ray image was flat and dark field corrected to account for non-uniformity in pixel sensitivity and detector noise, respectively.48 4.6.Toxicity StudyTo determine any potential toxicity of the prepared dye admixture, a toxicity study consisting of weight monitoring was conducted. In addition, a CBC and sera biochemistry panel were conducted using two groups with mice in the control and experimental groups. Each mouse in the experimental group was orally gavaged 0.2 ml for 20 g mice. Mice were then placed in starting groups based on weight after it was determined that there was no significant difference between the means of the control and experimental groups (Fig. S3 in the Supplementary Materials). After initial weights were gathered, mice were weighed for 13 days post-gavage. At the conclusion of the weight monitoring study, a CBC test and blood sera panel were conducted. Blood samples were collected through retro-orbital bleeding of the mice, and an Element HT5 Veterinary Hematology Analyzer was used to conduct the CBC test, and an Element DC Veterinary Chemistry Analyzer was used for individual comprehensive blood chemistry panel. In total, 34 different parameters were as listed in Table S1 in the Supplementary Materials. AcknowledgmentsThis work was supported in part by grants from the National Institutes of Health (Grant Nos. R01EB029596 and R01EB028978). ReferencesJ. Rieffel, U. Chitgupi and J. F. Lovell,
“Recent advances in higher-order, multimodal, biomedical imaging agents,”
Small, 11 4445
–4461 https://doi.org/10.1002/smll.201500735 SMALBC 1613-6810
(2015).
Google Scholar
K. Gao et al.,
“W-doped TiO2 nanoparticles with strong absorption in the NIR-II window for photoacoustic/CT dual-modal imaging and synergistic thermoradiotherapy of tumors,”
Theranostics, 9 5214
–5226 https://doi.org/10.7150/thno.33574
(2019).
Google Scholar
X. Yu et al.,
“Ultrasmall semimetal nanoparticles of bismuth for dual-modal computed tomography/photoacoustic imaging and synergistic thermoradiotherapy,”
ACS Nano, 11 3990
–4001 https://doi.org/10.1021/acsnano.7b00476 ANCAC3 1936-0851
(2017).
Google Scholar
X. Hui, M. O. A. Malik and M. Pramanik,
“Looking deep inside tissue with photoacoustic molecular probes: a review,”
J. Biomed. Opt., 27 070901 https://doi.org/10.1117/1.JBO.27.7.070901 JBOPFO 1083-3668
(2022).
Google Scholar
P. K. Upputuri and M. Pramanik,
“Recent advances in photoacoustic contrast agents for in vivo imaging,”
WIREs Nanomed. Nanobiotechnol., 12 e1618 https://doi.org/10.1002/wnan.1618
(2020).
Google Scholar
Q. Fu et al.,
“Photoacoustic imaging: contrast agents and their biomedical applications,”
Adv. Mater., 31 1805875 https://doi.org/10.1002/adma.201805875 ADVMEW 0935-9648
(2019).
Google Scholar
R. E. Borg and J. Rochford,
“Molecular photoacoustic contrast agents: design principles & applications,”
Photochem. Photobiol., 94 1175
–1209 https://doi.org/10.1111/php.12967 PHCBAP 0031-8655
(2018).
Google Scholar
S. Han et al.,
“Contrast agents for photoacoustic imaging: a review focusing on the wavelength range,”
Biosensors, 12 594 https://doi.org/10.3390/bios12080594 BISSED 0265-928X
(2022).
Google Scholar
E.-Y. Park et al.,
“New contrast agents for photoacoustic imaging and theranostics: recent 5-year overview on phthalocyanine/naphthalocyanine-based nanoparticles,”
APL Bioeng., 5 031510 https://doi.org/10.1063/5.0047660
(2021).
Google Scholar
U. Chitgupi and J. F. Lovell,
“Naphthalocyanines as contrast agents for photoacoustic and multimodal imaging,”
Biomed. Eng. Lett., 8 215
–221 https://doi.org/10.1007/s13534-018-0059-2
(2018).
Google Scholar
M. Li et al.,
“Sound out the deep colors: photoacoustic molecular imaging at new depths,”
Mol. Imaging, 19 1536012120981518 https://doi.org/10.1177/1536012120981518
(2020).
Google Scholar
A. Jakhmola, N. Anton and T. F. Vandamme,
“Inorganic nanoparticles based contrast agents for x-ray computed tomography,”
Adv. Healthc. Mater., 1 413
–431 https://doi.org/10.1002/adhm.201200032
(2012).
Google Scholar
N. Aslan et al.,
“Metallic nanoparticles as X-Ray computed tomography (CT) contrast agents: a review,”
J. Mol. Struct., 1219 128599 https://doi.org/10.1016/j.molstruc.2020.128599 JMOSB4 0022-2860
(2020).
Google Scholar
L. E. Cole et al.,
“Gold nanoparticles as contrast agents in x-ray imaging and computed tomography,”
Nanomedicine, 10 321
–341 https://doi.org/10.2217/nnm.14.171 1743-5889
(2015).
Google Scholar
C. Sun et al.,
“J-aggregates of cyanine dye for NIR-II in vivo dynamic vascular imaging beyond 1500 nm,”
J. Am. Chem. Soc., 141 19221
–19225 https://doi.org/10.1021/jacs.9b10043 JACSAT 0002-7863
(2019).
Google Scholar
H. Wan et al.,
“A bright organic NIR-II nanofluorophore for three-dimensional imaging into biological tissues,”
Nat. Commun., 9 1171 https://doi.org/10.1038/s41467-018-03505-4 NCAOBW 2041-1723
(2018).
Google Scholar
P. K. Upputuri and M. Pramanik,
“Photoacoustic imaging in the second near-infrared window: a review,”
J. Biomed. Opt., 24 040901 https://doi.org/10.1117/1.JBO.24.4.040901 JBOPFO 1083-3668
(2019).
Google Scholar
K. Huang et al.,
“Nanomaterials for photoacoustic imaging in the second near-infrared window,”
Biomater. Sci., 7 472
–479 https://doi.org/10.1039/C8BM00642C
(2019).
Google Scholar
J. Zhang et al.,
“Development of second near-infrared photoacoustic imaging agents,”
Trends Chem., 3 305
–317 https://doi.org/10.1016/j.trechm.2021.01.002
(2021).
Google Scholar
X. Ge et al.,
“Photoacoustic imaging and photothermal therapy in the second near-infrared window,”
New J. Chem., 43 8835
–8851 https://doi.org/10.1039/C9NJ01402K NJCHE5 1144-0546
(2019).
Google Scholar
Z. Li et al.,
“NIR-II functional materials for photoacoustic theranostics,”
Bioconj. Chem., 33 67
–86 https://doi.org/10.1021/acs.bioconjchem.1c00520 BCCHES 1043-1802
(2022).
Google Scholar
A. L. Antaris et al.,
“A small-molecule dye for NIR-II imaging,”
Nat. Mater., 15 235
–242 https://doi.org/10.1038/nmat4476 NMAACR 1476-1122
(2016).
Google Scholar
U. Chitgupi et al.,
“Surfactant-stripped micelles for NIR-II photoacoustic imaging through 12 cm of breast tissue and whole human breasts,”
Adv. Mater., 31 1902279 https://doi.org/10.1002/adma.201902279 ADVMEW 0935-9648
(2019).
Google Scholar
Y. Zhou et al.,
“A phosphorus phthalocyanine formulation with intense absorbance at 1000 nm for deep optical imaging,”
Theranostics, 6 688
–697 https://doi.org/10.7150/thno.14555
(2016).
Google Scholar
Z. Lei and F. Zhang,
“Molecular engineering of NIR-II fluorophores for improved biomedical detection,”
Angew. Chem. Int. Ed., 60 16294
–16308 https://doi.org/10.1002/anie.202007040
(2021).
Google Scholar
H. I. Kilian et al.,
“Facile formulation of a long-wavelength cyanine for optical imaging in the second near-infrared window,”
Biomater. Sci., 8 4199
–4205 https://doi.org/10.1039/D0BM00572J
(2020).
Google Scholar
H. I. Kilian et al.,
“Intraperitoneal administration for sustained photoacoustic contrast agent imaging,”
Photoacoustics, 28 100406 https://doi.org/10.1016/j.pacs.2022.100406
(2022).
Google Scholar
X. Yang, J. F. Lovell and Y. Zhang,
“Ingestible contrast agents for gastrointestinal imaging,”
ChemBioChem, 20 462
–473 https://doi.org/10.1002/cbic.201800589 CBCHFX 1439-4227
(2019).
Google Scholar
N. G. Anderson et al.,
“Spectroscopic (multi-energy) CT distinguishes iodine and barium contrast material in MICE,”
Eur. Radiol., 20 2126
–2134 https://doi.org/10.1007/s00330-010-1768-9
(2010).
Google Scholar
B. Myagmarjalbuu et al.,
“Establishment of a protocol for determining gastrointestinal transit time in mice using barium and radiopaque markers,”
Korean J. Radiol., 14 45
–50 https://doi.org/10.3348/kjr.2013.14.1.45
(2013).
Google Scholar
S. Kondo,
“Microinfusion method using barium sulfate for visualization of embryonic blood vessels with light and scanning electron microscopy,”
J. Electron. Microsc., 45 163
–167 https://doi.org/10.1093/oxfordjournals.jmicro.a023427
(1996).
Google Scholar
S. Saphier et al.,
“Gastro intestinal tracking and gastric emptying of solid dosage forms in rats using X-ray imagining,”
Int. J. Pharm., 388 190
–195 https://doi.org/10.1016/j.ijpharm.2010.01.001 IJPHDE 0378-5173
(2010).
Google Scholar
Y. Zhang et al.,
“Non-invasive multimodal functional imaging of the intestine with frozen micellar naphthalocyanines,”
Nat. Nanotechnol., 9 631
–638 https://doi.org/10.1038/nnano.2014.130 NNAABX 1748-3387
(2014).
Google Scholar
Z. Jiang et al.,
“Surfactant-stripped micelles with aggregation-induced enhanced emission for bimodal gut imaging in vivo and microbiota tagging ex vivo,”
Adv. Healthc. Mater., 10 2100356 https://doi.org/10.1002/adhm.202100356
(2021).
Google Scholar
Y. Zhang et al.,
“Surfactant-stripped frozen pheophytin micelles for multimodal gut imaging,”
Adv. Mater., 28 8524
–8530 https://doi.org/10.1002/adma.201602373 ADVMEW 0935-9648
(2016).
Google Scholar
D. Wang et al.,
“Ingestible roasted barley for contrast-enhanced photoacoustic imaging in animal and human subjects,”
Biomaterials, 175 72
–81 https://doi.org/10.1016/j.biomaterials.2018.05.016 BIMADU 0142-9612
(2018).
Google Scholar
E. Z. Zhang et al.,
“Multimodal photoacoustic and optical coherence tomography scanner using an all optical detection scheme for 3D morphological skin imaging,”
Biomed. Opt. Express, 2 2202
–2215 https://doi.org/10.1364/BOE.2.002202 BOEICL 2156-7085
(2011).
Google Scholar
W. J. Akers et al.,
“Multimodal sentinel lymph node mapping with single-photon emission computed tomography (SPECT)/computed tomography (CT) and photoacoustic tomography,”
Transl. Res., 159 175
–181 https://doi.org/10.1016/j.trsl.2011.09.006
(2012).
Google Scholar
M. Jeon and C. Kim,
“Multimodal photoacoustic tomography,”
IEEE Trans. Multimedia, 15 975
–982 https://doi.org/10.1109/TMM.2013.2244203
(2013).
Google Scholar
Y.-S. Chen et al.,
“Dynamic contrast-enhanced photoacoustic imaging using photothermal stimuli-responsive composite nanomodulators,”
Nat. Commun., 8 15782 https://doi.org/10.1038/ncomms15782 NCAOBW 2041-1723
(2017).
Google Scholar
L.-D. Liao et al.,
“Imaging of temperature dependent hemodynamics in the rat sciatic nerve by functional photoacoustic microscopy,”
Biomed. Eng. Online, 12 120 https://doi.org/10.1186/1475-925X-12-120
(2013).
Google Scholar
L. Ma et al.,
“Polydopamine-coated downconversion nanoparticle as an efficient dual-modal near-infrared-II fluorescence and photoacoustic contrast agent for non-invasive visualization of gastrointestinal tract in vivo,”
Biosens. Bioelectron., 151 112000 https://doi.org/10.1016/j.bios.2019.112000 BBIOE4 0956-5663
(2020).
Google Scholar
W. Xu, D. Wang and B. Z. Tang,
“NIR-II AIEgens: a win–win integration towards bioapplications,”
Angew. Chem. Int. Ed. Engl., 60 7476
–7487 https://doi.org/10.1002/anie.202005899
(2021).
Google Scholar
Y. Wang et al.,
“Optimizing the light delivery of linear-array-based photoacoustic systems by double acoustic reflectors,”
Sci. Rep., 8 13004 https://doi.org/10.1038/s41598-018-31430-5 SRCEC3 2045-2322
(2018).
Google Scholar
A. N. S. Institute, American National Standard for Safe Use of Lasers, Laser Institute of America(
(2007). Google Scholar
J. Lee et al.,
“Fully waterproof two-axis galvanometer scanner for enhanced wide-field optical-resolution photoacoustic microscopy,”
Opt. Lett., 45 865
–868 https://doi.org/10.1364/OL.380032 OPLEDP 0146-9592
(2020).
Google Scholar
C. N. Ionita et al.,
“Cone-beam micro-CT system based on LabVIEW software,”
J. Digit. Imaging, 21 296
–305 https://doi.org/10.1007/s10278-007-9024-9 JDIMEW
(2008).
Google Scholar
V. Patel et al.,
“Self-calibration of a cone-beam micro-CT system,”
Med. Phys., 36 48
–58 https://doi.org/10.1118/1.3026615 MPHYA6 0094-2405
(2009).
Google Scholar
|
CITATIONS
Cited by 1 scholarly publication.
Barium
Pigments
Dyes
X-rays
X-ray imaging
Photoacoustic imaging
Photoacoustic spectroscopy