We describe a method for imaging response to anti-cancer treatment in vivo and at single cell resolution.
The tumor microenvironment plays a pivotal role in tumor initiation, progression, metastasis, and the response to anti-cancer therapies. Three-dimensional co-culture systems are frequently used to explicate tumor-stroma interactions, including their role in drug responses. However, many of the interactions that occur in vivo in the intact microenvironment cannot be completely replicated in these in vitro settings. Thus, direct visualization of these processes in real-time has become an important tool in understanding tumor responses to therapies and identifying the interactions between cancer cells and the stroma that can influence these responses. Here we provide a method for using spinning disk confocal microscopy of live, anesthetized mice to directly observe drug distribution, cancer cell responses and changes in tumor-stroma interactions following administration of systemic therapy in breast cancer models. We describe procedures for labeling different tumor components, treatment of animals for observing therapeutic responses, and the surgical procedure for exposing tumor tissues for imaging up to 40 hours. The results obtained from this protocol are time-lapse movies, in which such processes as drug infiltration, cancer cell death and stromal cell migration can be evaluated using image analysis software.
Solid tumors are comprised of two major compartments: cancer cells and the stromal constituents (both cellular and non-cellular) that assist in maintaining an appropriate environment for tumor growth1. These stromal constituents play critical roles in the development, progression, and metastasis of many types of cancers, including those of the breast2-5. The stromal milieu also influences therapeutic responses2,4,5. Thus, determining how cancer cells respond to conventional and novel therapies within the context of the intact microenvironment is important for furthering our understanding of cancer biology and improving current therapeutic strategies. Furthermore, defining how cancer cell-stroma interactions change following the administration of therapy is critical for understanding the biology of tumor relapse.
Organotypic co-culturing systems have been useful for studying tumor-stroma interactions6, but it is evident that the methods currently available cannot successfully recapitulate the intact tumor microenvironment in vitro, in particular with respect to vascular function and recruitment of immune cells. Indeed, cancer cell responses to therapies that are observed in vitro are often significantly different from those observed in vivo, where the microenvironment is intact5. Thus, in vivo models for studying tumor-stroma interactions and their impact on therapeutic response may better reflect clinically relevant mechanisms7.
The primary means of studying responses to anti-cancer therapy in vivo have been through measurements of tumor size and histological evaluation of tissues derived from treated animals or patients. However, advancements in microscopy and fluorescent reporters over the past two decades have enabled the visualization of inter- and intracellular processes at high resolution in live, anesthetized animals (intravital imaging)8. These intravital microscopy technologies have proven to be especially valuable for spatially and temporally dissecting the in vivo dynamics of tumor-stroma interactions at cellular and sub-cellular resolution8,9.
Processes that have been unraveled by intravital imaging include anti-tumor T cell cytotoxicity10,11, interactions between T cells and myeloid cells12, the dynamics of changes in collagen composition and organization following therapeutic treatment13, macrophage-dependent cancer cell intravasation and metastasis14, and vascular permeability15.
There are three major requirements for intravital imaging. These include appropriate preparation and exposure of tissues for imaging, fluorescent labeling of the tissue components of interest, and a paired microscopy-camera system capable of acquiring images16. The most common strategies used to address these requirements include: 1) heterotopic preparations (e.g., inoculation of the ear or eye orbital), permanent imaging windows, or exteriorized preparations (e.g., dorsal skin flap); 2) transgenic fluorescent reporters and fluorescent injectables to label tissue components; and 3) multiphoton or confocal microscopy systems paired with photomultiplier tubes or charge-coupled device (CCD) cameras, respectively9. We use a surgically prepared skin flap model to expose the inguinal mammary gland for imaging in anesthetized animals that express transgenes encoding fluorescent reporters. Images are obtained over a period of 12 to 40 hours using an intensified CCD (ICCD) camera paired with a four-laser spinning disk confocal microscope system17. Imaging in this manner has allowed us to study such processes as in vivo drug distribution, stage-dependent chemotherapeutic responses, type of chemotherapy-induced cell death, and myeloid cell behavior5.
We provide a protocol for the intravital imaging of cancer cell responses to anti-cancer therapy and tumor-stroma interactions in mouse models of breast cancer. This protocol can be used to track the behaviors and death of both cancer cells and stromal components with a wide variety of transgenic and injectable fluorescent labels in both transgenic and transplantation models for periods of up to 40 hours in a single imaging session.
All procedures described must be performed in accordance with guidelines and regulations for the use of vertebrate animals, including prior approval by the local Institutional Animal Care and Use Committee.
1. Generating Mouse Mammary Tumors for Imaging (Transgenic or Orthotopic)
2. Visualizing Components of the Tumor Microenvironment or Sub-cellular Components
3. Microscopes and Imaging Software
4. (Pre)-treatment of Animals for Imaging
5. Preparation of Saline for Maintaining Hydration and Blood Osmolarity of the Animal during Imaging
6. Preparation of the Isoflurane Anesthesia System
7. Preparation of Surgical Tools and Surgical Platform
8. Preparation of Microscope
9. Exposing the Inguinal Mammary Gland for Imaging
10. Positioning the Mouse on the Stage
11. Acquisition of Images
The open source software μManager (Vale Lab, UCSF) is used to acquire time-lapse images. The raw data is compiled in Imaris (Bitplane) software, and can be scored manually by independent observers, or analyzed in either Imaris or other image analysis software (e.g. Volocity [PerkinElmer] or ImageJ [NIH]).
12. Euthanasia
At the end of the image session (1-40 hr, depending on the type of process analyzed), the animal is euthanized.
13. Representative Results
Intravital imaging using this method allows for the direct visualization of various processes, including drug delivery to tumors, extravasation and distribution of the drug once it reaches the tumor, cell death following therapeutic treatment, and tumor-stroma interactions in response to cell death5. To observe the arrival of a drug to the tumor and its distribution following extravasation into tumor tissues, the animal is injected while images are being acquired. Although several classes of chemotherapeutics are weakly fluorescent (such as doxorubicin), many are not. Fluorescently conjugated dextrans can be used as surrogate markers for drug delivery and diffusion into tissues. Figure 2 and Movie 1 show the arrival of a fluorescein-isothiocyanate (FITC)-conjugated 2 MD dextran (Invitrogen, 1 mg/ml 1xPBS) injected i.v. into a tumor of an MMTV-PyMT;ACTB-ECFP mouse.
Following the arrival of the drug into the tumor, extravasation and diffusion through the tissues can be imaged to determine both the intravascular half-life of a drug and drug distribution5. Movie 2 shows the extravasation and distribution of Alexa Fluor-647-conjugated 10 kD dextran (Invitrogen, 1 mg/ml in 1 x PBS) injected i.v. into a C3(1)-Tag;ACTB-ECFP;c-fms-EGFP mouse during imaging. After compilation of time-lapse movies in Imaris (Bitplane), intravascular half-life and drug distribution is quantified. To measure intravascular half-life, the mean fluorescence intensity in tumor blood vessels at each time point is calculated and plotted against time. Drug distribution is quantified as a percent area per total tumor area that is positive for the drug.
In addition to tracking the kinetics of drug delivery to tumors, it is frequently important to determine how tumors are responding to therapy. As anti-cancer therapies are expected to induce cell death, propidium iodide (PI) staining or structural nuclear changes can be used as a marker of drug-induced cell death5. Figure 3 shows the tumor response to the cytotoxic chemotherapeutic doxorubicin in an MMTV-PyMT;ACTB-ECFP;c-fms-EGFP mouse. In this triple transgenic MMTV-PyMT;ACTB-ECFP;c-fms-EGFP animal, ECFP labels breast cancer cells (blue), and EGFP labels myeloid cells (green). The animal imaged during this session was administered doxorubicin 18 hr before imaging began and PI was delivered i.p. throughout the imaging session as described above. Cancer cells (ACTB-ECFP labeling) appear as blue, and dead or dying cells appear as red (PI staining). The time series presented here shows induction of doxorubicin-dependent cell death over time. To quantify the induction of cell death in tumors, the same type of analysis used for determining drug distribution is used, where the quantitative output is percent area per total tumor area that is positive for PI.
Imaging at high magnification can provide information regarding the type of cell death that cancer cells undergo5. Movie 3 shows the results of an imaging experiment to track nuclear changes typical of apoptotic cell death in response to systemic therapy with doxorubicin. To visualize nuclei, the animal imaged during this session harbors the ACTB-H2B-EGFP reporter instead of the c-fms-EGFP reporter, so the nuclei of cancer cells are labeled in green. This MMTV-PyMT;ACTB-ECFP;ACTB-H2B-EGFP animal was administered doxorubicin (8 mg/kg in 1 x PBS) i.p. 24 hr prior to the start of movie, and received hourly injections of 1 x PBS containing PI (Invitrogen, 1 mg/ml solution diluted 1:15). Structural changes in the nuclei of cancer cells can be observed in an apoptotic cell next to cells that have undergone necrosis (PI-positive cells that display minimal changes in nuclear morphology). Nuclei of apoptotic cells eventually becomes red due to the uptake of PI staining (not shown). The number of necrotic and apoptotic events is quantified manually for each time point based on PI-positivity and nuclear morphology.
Chemotherapy-induced cancer cell death frequently results in a reactive recruitment of immune cells into tumors2,4,5. Figure 4 shows an example of this stromal response to acute treatment with doxorubicin. The MMTV-PyMT;ACTB-ECFP;c-fms-EGFP animal imaged here was administered doxorubicin (8 mg/kg in 1 x PBS) i.p. approximately 20 hours prior to the start of imaging, and received hourly PI injections i.p. for the duration of the experiment to visualize cell death. The times indicated represent the number of hours after doxorubicin treatment, and the scale bar represents 100 μm. In this experiment, myeloid cells infiltrate into areas of cell death, as indicated by the white arrows. To quantify myeloid cell infiltration into tumors following doxorubicin administration, the same type of analysis used for determining drug distribution and tumor response to chemotherapy is used, where the quantitative output is percent area per total tumor area that is positive for EGFP.
In addition to visualizing the overall stromal response to chemotherapy, specialized stromal responses can also be visualized5. Movie 4 shows the phagocytosis of necrotic cell material by a neighboring cell. The red nuclear material can be seen being ingested by a cell with a large intact green nucleus, which is typical of macrophages. The MMTV-PyMT;ACTB-ECFP;ACTB-H2B-EGFP animal imaged during this session was administered doxorubicin (8 mg/kg in 1 x PBS) i.p. 24 hr prior to the start of the movie. The animal received hourly injections of 1 x PBS containing PI (Invitrogen, 1 mg/ml solution diluted 1:15). Nuclei (ACTB-EGFP labeling) appear as green, but turn red as the cell undergo necrosis.
Figure 1. Sample labeling of different tumor components using transgenic and injectable labels. This is a triple-transgenic MMTV-PyMT;ACTB-ECFP;c-fms-EGFP animal in which cancer cells are labeled in blue through expression of ECFP and myeloid cells are labeled in green through expression of EGFP from a myeloid-specific promoter. The animal was injected with propidium iodide (PI, red, ~0.07 mg/ml in 1x PBS) during the imaging session to visualize cell death. PI labels DNA but only crosses the cell membranes of dead or dying cells. Scale bar = 100 μm.
Figure 2. Drug extravasation and distribution in tumors. This double-transgenic MMTV-PyMT;ACTB-ECFP animal in which cancer cells are labeled in blue through expression of ECFP was injected with FITC-conjugated 2 MD dextran (green) during the imaging session to visualize how drugs reach tumors after i.v. injection (blue). Time after imaging was initiated is indicated. Scale bar = 100 μm.
Figure 3. Cancer cell response to systemic therapy. An MMTV-PyMT;ACTB-ECFP;c-fms-EGFP animal treated with the chemotherapeutic drug doxorubicin prior to imaging, and injected with PI (red, ~0.07 mg/ml in 1x PBS) to label cell death. This image series shows the accumulation of PI staining over time (as indicated by white arrows), representing the induction of cell death following doxorubicin treatment. Time indicated is time after doxorubicin treatment. Images are maximum intensity projections of a z-stack containing three images in the z-axis. Scale bar = 100 μm.
Figure 4. Myeloid cell response to chemotherapy in an MMTV-PyMT;ACTB-ECFP;c-fms-EGFP triple transgenic mouse administered doxorubicin 20 hr prior to imaging. The animal received hourly i.p. injections of PI (red, ~0.07 mg/ml in 1x PBS) to label dead cells. This image series shows the accumulation of EGFP-positive myeloid cells (as indicated by white arrows) over time following doxorubicin treatment. This reactive immune response has been shown to impede therapeutic response to several classes of chemotherapies4,5. Time indicated is time after doxorubicin treatment. Images are maximum intensity projections of a z-stack containing three images in the z-axis. Scale bar = 100 μm.
Movie 1. Drug delivery into a tumor. This is a double-transgenic MMTV-PyMT;ACTB-ECFP animal in which cancer cells are labeled in blue through expression of ECFP. The animal was injected with a 2 MD FITC-conjugated dextran (green) during the imaging session to visualize how drugs reach tumors after i.v. injection. Scale bar = 100 μm. Click here to view movie.
Movie 2. Drug infiltration into the tumor tissue. A triple transgenic C3(1)-Tag;ACTB-ECFP;c-fms-EGFP animal in which cancer cells are labeled in blue through expression of ECFP and myeloid cells labeled in green through expression of EGFP was injected i.v. with an Alexa Fluor 647-conjugated 10 kD dextran (red). The field of view is shown immediately after injection with dextran. The dextran initially labels the vasculature, rapidly extravasates into the tumor tissue, and is finally taken up by macrophages. Scale bar = 100 μm. Click here to view movie.
Movie 3. Imaging of nuclear changes after chemotherapy-induced cell death. This triple transgenic MMTV-PyMT;ACTB-ECFP;H2B-EGFP animal was injected with doxorubicin prior to imaging. Nuclear morphology (green), as tracked by expression of an H2B-EGFP fusion protein, allows for direct visualization of chemotherapy-induced nuclear structural changes typical of apoptosis as seen for the cell in the top right corner. The animal received half-hourly i.p. injections of PI (red) for the duration of the imaging session to label dead and dying cells. Time indicated is time after doxorubicin treatment +24 hr. Images were acquired using a high magnification objective lens (40x, NA 1.1, water lens). Scale bar = 15 μm. Click here to view movie.
Movie 4. Imaging of nuclear changes and uptake of dead cell material after chemotherapy-induced cell death. This triple transgenic MMTV-PyMT;ACTB-ECFP;H2B-EGFP animal was injected with doxorubicin prior to imaging. Nuclear morphology (green), as tracked by expression of an H2B-EGFP fusion protein, allows for direct visualization of chemotherapy-induced nuclear structural changes. The animal received half-hourly i.p. injections of PI (red) for the duration of the imaging session to label dead and dying cells. Images were acquired using a high magnification objective lens (40 x, NA 1.1, water lens). The lack of major structural changes prior to labeling with PI and the change in the nuclear morphology and loss of GFP signal is indicative of necrosis-like cell death. The dead material is seen being taken up by a cell with a large nucleus, which is typical of macrophages. Time indicated is time after doxorubicin treatment +24 hr. Scale bar = 10 μm. Click here to view movie.
The responses of tumors to systemic therapies in vivo can be dramatically different to those of cancer cells in vitro, as the microenvironment influences both the acute response and relapse5. One of the biggest obstacles to explicating in vivo chemoresistance pathways is the complexity of the interactions between cancer cells and their microenvironment. In particular, because solid tumors have developed a balance between cancer and stromal cells, perturbations of one component, such as the cell death that occurs during anti-cancer treatment, can result in dramatic effects on tissue organization.
The intravital imaging technique provided here allows for the direct visualization of cancer cell-stroma interactions within the tumors of live, anesthetized mice during treatment with anti-cancer drugs. We use spinning disk confocal microscopy, which has a relative limited penetration depth (see 17), but our surgical and labeling techniques can be used with other types of microscopy. Movies acquired from these experiments can be used to track processes that include changes in fluorescence intensity (e.g. due to infiltration of a labeled population or induction of cell death), cell motility, distribution of injectables (e.g. to track vascular leakage), and co-localization of fluorescent signals5,12,17,20.
We routinely image mice for over 6 hours and also performed imaging for over 18 hours. This requires maintaining the mice continuously under anesthesia for these long time periods. With proper anesthesia, over 90% of our animals survive 6 hours, and about 80% survive over 18 hours. Details on how to perform long-term anesthesia have been published previously19. In our experience, five factors are critical: avoiding hypothermia, avoiding dehydration, maintaining physiological blood oxygen saturation levels, using humidified carrier gas for isoflurane, and keeping the animals at the lowest level of anesthesia at which they do not show signs of pain. To maintain body temperature, we keep mice under a heated blanket (at 38 °C). To avoid dehydration, we inject small volumes of saline i.p. throughout the entire imaging procedure. To maintain physiological blood oxygen saturation levels, we start with 21% oxygen in the carrier gas (rather than the commonly used 100%). This enables us to increase inhaled oxygen levels if a mouse – hours into an experiment – shows a decrease in blood oxygen saturation. In our experience, increasing the inhaled oxygen levels at such time (e.g. to 30-40%) almost always will stabilize the animal allowing for hours of additional imaging. The optimal level of anesthesia is for most mice achieved with 1-1.5% isoflurane and results in breath rates of 60-65/min and pulse rates of 400-450/min. In our imaging experiments, we primarily use transgenic mouse models (MMTV-PyMT and C3[1]-Tag) in which tumors are multifocal, allowing for imaging of multiple lesions at different stages of tumor progression in parallel at multiple x,y positions during a single imaging session. This decreases concerns regarding mouse-to-mouse variation with respect to experiments aimed at identifying stage-dependent therapeutic responses, and reduces the number of animals required for imaging.
The MMTV-PyMT model (and other spontaneous cancer models) go through progressive histopathological stages that can be recognized during intravital imaging, although the pathological staging of tumor lesions that can be done during intravital imaging is different from, and less detailed, than that of histological sections5,17. In contrast, transplantation models tend to reflect late stage tumors best, as the cancer cells usually are isolated from advanced tumors. Such models are thus more amenable to studying tumor-stroma interactions of late stage tumors than differences in these interactions between different stages.
We show examples of how to image nuclear structural changes that occur after cell death induced by therapy. In the absence of anti-cancer treatment, this labeling strategy may instead be used to image cell division in situ, elucidating, for example, how cell proliferation and dormancy is influenced by the microenvironment. In the future, fluorescent labeling of mitochondrial components may make it possible to image mitochondrial changes that occur during apoptotic cell death.
In this protocol, we have also shown examples of how to image cancer cell-immune cell interactions after therapy, but other microenvironmental components can also be visualized and imaged. Existing transgenic reporter lines for stromal components include those for fibroblasts (e.g., FSP1-EGFP17, αSMA-RFP21, COL1A1-EGFP21) or cells of the vasculature (e.g. Tie2-GFP22; VEGF-GFP23).
Intravital imaging allows for the real-time visualization of the interactions and processes that occur in vivo following chemotherapy administration. With the technology currently available, we have made major progress in understanding how myeloid cells influence therapeutic response; however, because the tumor microenvironment is so complex, major advancements are still needed to begin to delve mechanistically into the processes underlying environment-mediated drug resistance. One of the most important advancements still required is the identification of better markers for specific cell populations. The importance of better markers is well illustrated with two of the most prominent stromal cell components of the breast tumor microenvironment, fibroblasts and immune cells. α-Smooth muscle actin (αSMA) is frequently used to identify fibroblasts, but the protein is also expressed by vascular smooth muscle cells and myoepithelial cells24. Thus, although αSMA-GFP reporter mice exist, determining the specific cell type being following during an intravital imaging experiment is challenging. Similarly, a single fluorescent marker such as EGFP expressed under the c-fms promoter will often identify multiple subpopulations of immune cells12,17. Thus, although one would ideally like to use a single marker to identify a specific cell type the complexity of the underlying biology poses a major challenge in using this approach.
One partial solution to this problem is to use injectable labels to further differentiate subpopulations of cells expressing the same fluorescent reporter. For example, fluorescent dextrans are taken up by macrophages and can be used to label the macrophage subpopulations that are labeled by the c-fms-EGFP and Fsp1-EGFP transgenic reporter mice17. Antibodies conjugated to fluorescent probes have also been used to identify specific subpopulations (e.g. the Gr1-positive population of myeloid cells labeled by the c-fms-EGFP reporter17).
Unlike tumor response curves generated by caliper measurement, which provide little mechanistic information about how or why tumors respond to the administered therapeutic, or histological series derived from tissues harvested at different time points that require large cohorts of animals, our technique provides direct, quantifiable information on the dynamics of cell death and on the interactions of stromal cells with cancer cells in small cohorts. Thus, the advantage of using the procedure reported here is that it provides dynamic information on drug responses in the context of an intact tumor microenvironment in real-time. Such information can lead to important insights into the underlying processes that drive therapeutic responses5.
The authors have nothing to disclose.
We thank J. Cappellani and J. Qiu for technical support. This work was supported by funds from the National Cancer Institute (U01 CA141451), the Starr Cancer Consortium, Susan G. Komen for the Cure, Long Island 2 Day Walk to Fight Breast Cancer, Manhasset Women’s Coalition Against Breast Cancer to M.E., and a pre-doctoral fellowship from the Congressionally Directed Breast Cancer Research Program, U.S. to E.S.N. E.S.N. is also the recipient of the Leslie C. Quick and William Randolph Hearst Foundation Fellowships from the Watson School of Biological Sciences. H.A.A. was supported by funds from the Research Council of Norway (160698/V40 and 151882), and Southeastern Regional Health Authorities (2007060).
Reagent | |||
MMTV-PyMT mice | Jackson Laboratory | 2374 | |
C3(1)-Tag mice | Jackson Laboratory | 13591 | |
ACTB-ECFP mice | Jackson Laboratory | 3773 | |
ACTB-H2B-EGFP mice | Jackson Laboratory | 5418 | |
1 x PBS | Made in-house | ||
2 MD Dextran, Fluorescein-conjugated | Invitrogen | D-7137 | Reconstitute in dH2O (4 mg/ml, store at -20°C); dilute to 1 mg/ml in 1 x PBS |
10 kD Dextran, Alexa Fluor 647-conjugated | Invitrogen | D-22914 | Reconstitute in dH2O (4 mg/ml, store at -20°C); dilute to 1 mg/ml in 1 x PBS |
Doxorubicin hydrochloride | Sigma-Aldrich | 44583 | Reconstitute in dH2O and store at 4 °C; dilute in 1 x PBS |
Isothesia (Isoflurane) | Butler Animal Health Supply | 029450 | 250 ml |
Propidium iodide | Invitrogen | P3566 | 1 mg/ml; dilute 1:15 in 1 x PBS |
Nitrogen | |||
Oxygen | |||
Equipment | |||
18G x 1½” regular bevel needle | BD | 305196 | |
μManager | Vale Lab, UCSF | www.micro-manager.org | Open-source software |
Alcohol swab | BD | 326895 | 70% isopropyl alcohol swabs |
Anesthesia system | Molecular Imaging Products, Co. | ||
Cover glass | Corning | 2940-245 | No. 1½, 24×50 mm; disinfect with 70% isopropanol wipes |
Curity gauze sponges (sterile) | Kendall | 6939 | |
Glass microscope slides | Corning | 2948-75×25 | Pre-cleaned; if not pre-cleaned, disinfect with 70% isopropanol wipes |
Hardened fine scissors | Fine Science Tools | 14090-11 | 2 pairs; stainless steel, sharp-sharp tips, straight tip, 26 mm cutting edge, 11 cm length |
Heated blanket | Gaymar Industries | ||
Hot bead sterilizer | Fine Science Tools | 18000-45 | Turn on approximately 30 min before use; sterilize tools at >200 °C for 30 sec |
Imaris | Bitplane | www.bitplane.com | |
Krazy Glue | Elmer’s Products | KG484 | |
Laboratory tape ( ½”) | |||
Laboratory tape (1″) | |||
Lid to a Styrofoam shipping cooler | This will be used as the surgical platform | ||
Micro dissecting forceps | Roboz | RS-5153 | 1×2 teeth, slight curve, 0.8 mm tip width, 4″ length |
Micro dissecting forceps | Roboz | RS-5135 | Serrated, slight curve, 0.8 mm tip width; 4″ length |
Microscope | Spinning-disk confocal, XYZ Piezo stage, epifluourescence capablility17,25 | ||
Microscope stage insert | Applied Scientific Instrumentation | Custom fabricated, with two circular imaging ports | |
MouseOx oximeter, software, and sensors | STARR Life Sciences | www.starrlifesciences.com | |
Nalgene Super Versi-Dry lab soakers | Thermo Scientific | 74218-00 | Cut into fourths for lining surgical platform |
Nebulizer | Salter Labs | 8901 | Used to humidify gases; prevents irritation of lung tissues |
Slip-tip disposable tuberculin syringe (1 ml) | BD | 309659 | |
Surflo winged infusion set | Terumo | SV-23BLK | 23G x ¾” ultra thin needle, 12″ tubing |
Betadine Spray | Purdue Pharma | BASP3H |