3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

* These authors contributed equally


A protocol for 3D visualization of microscopic tissue structures by using an X-ray specific staining method designed for X-ray computed tomography is presented.

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Busse, M., Müller, M., Kimm, M. A., Ferstl, S., Allner, S., Achterhold, K., Herzen, J., Pfeiffer, F. 3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography. J. Vis. Exp. (152), e60251, doi:10.3791/60251 (2019).


We demonstrate a laboratory-based method combining X-ray microCT and nanoCT with a specific X-ray stain, which targets the cell cytoplasm. The described protocol is easy to apply, fast and suitable for larger soft-tissue samples. The presented methodology enables the characterization of crucial tissue structures in three dimensions and is demonstrated on a whole mouse kidney. The multiscale approach allows to image the entire mouse kidney and supports the selection of further volumes of interest, which are acquired with higher resolutions ranging into the nanometer range. Thereby, soft-tissue morphology with a similar detail level as the corresponding histological light microscopy images is reproduced. Deeper insights into the 3D configuration of tissue structures are achieved without impeding further investigations through histological methods.


Full characterization of soft-tissue specimens requires information about the 3D tissue microstructure. The current gold standard for soft-tissue sample analyses is histopathology. The tissue and cellular morphology of the specimen are explored in 2D within selected regions of interest (ROIs) using optical microscopy1. This method, however, has several drawbacks. The preparation of the sample is time-consuming, complicated, destructive and prone to artifacts. The produced microscopic slides provide only 2D information parallel to the sectioning plane. Often the number of histological sections, which are investigated, is restricted due to time constraints2,3.

In recent years, the field of 3D histology has evolved. Here, virtual tissue slices from any desired spatial plane are accessible. This allows for the tracking of structures throughout the sample, which leads to a deeper understanding of the 3D tissue architecture and structural changes associated with different pathologies. Various methods have been developed to achieve the generation of 3D volume data. They range from serial-section based approaches, which use either light or electron microscopy4,5,6,7,8, to block-face imaging methods, such as episcopic 3D imaging or block-face scanning electron microscopy7,8,9. All the mentioned methods, however, involve either sectioning or destruct the sample completely, which does not allow for further investigations. The obtained resolution is highly dependent on the sectioning process being prone to artifacts as described in conventional histology. These methods suffer also from alignment artifacts.

3D X-ray imaging techniques such as microscopic and nanoscopic computed tomography (microCT and nanoCT) aspire to generate 3D high-resolution data without destruction of the tissue sample. So far, the weak X-ray attenuation contrast of soft tissue and the limited access to high resolutions in a laboratory environment has impaired their use for 3D visualization of microscopic tissue structures. Recent advances towards laboratory-based, high-resolution X-ray CT allow for resolutions well below 1 µm10,11,12,13.

The lack of contrast in soft tissue in conventional attenuation-based X-ray imaging is compensated by staining agents, which enhance the X-ray attenuation contrast. Staining agents known from other imaging techniques such as osmium tetroxide (OsO4), iodine potassium iodide (IKI) or phosphotungstic acid (PTA) are often used14,15,16,17,18,19,20,21,22,23,24,25. Staining agents that allow for (i) specific biological targeting, (ii) homogenous and complete staining, (iii) easy handling, (iv) fast penetration of the tissue without creating artifacts such as diffusion rings, (v) large and dense tissue staining, and (vi) full compatibility with histopathology are required to establish X-ray CT as tool for 3D visualization of microscopic tissue structures. In this work, we show how soft-tissue samples are prepared for X-ray CT imaging with a cytoplasm-specific X-ray stain based on eosin that fulfills the requirements stated above26.

The multiscale imaging approach ensures the assessment of staining quality through an overview microCT measurement and the selection of volumes of interest (VOIs) for further high-resolution investigations. Staining quality is analyzed focusing on staining parameters such as (i) completeness, (ii) appearance of diffusion rings, (iii) contrast enhancement, (iv) appearance of CT artifacts such as streaks and (v) homogeneity. The laboratory-based nanoCT setup, which uses geometric magnification to reach resolutions down to 100 nm, visualizes soft-tissue morphology on (sub)-cellular level10,27. A comparative analysis of the nanoCT slices with corresponding histological light microscopy images confirms the reproduction of tissue architecture with similar detail on a microscopic level in 2D, enabling histopathological characterization of the tissue sample. This detailed video protocol is intended to raise the awareness and to highlight the potential of this methodology as non-destructive 3D soft-tissue imaging tool being of interest to a wide scientific community such as zoologists, biologists and health professionals.


Caution: Please consult all relevant material safety data sheets (MSDS) before use. Several of the chemicals used in the protocol are acutely toxic and carcinogenic. Please use all appropriate safety practices when performing the staining protocol including the use of engineering controls (fume hood, glovebox) and personal protective equipment (safety glasses, gloves, lab coat, full length pants, closed-toe shoes).

Animals Used:
Animal housing was carried out at the Klinikum rechts der Isar, Technical University of Munich in accordance with the European Union guidelines 2010/63. Organ removal was approved from an internal animal protection committee of Klinikum rechts der Isar, Munich, Germany (internal reference number 4-005-09). All procedures were in accordance with relevant guidelines and regulations. All laboratories are inspected for accordance with the OECD principles of good laboratory practice.

1. Eosin staining protocol

  1. To fixate soft-tissue samples, fill a 50-mL centrifuge tube with a fixative solution containing 9.5 mL of 4% (v/v) formaldehyde solution (FA) and 0.5 mL of glacial acetic acid (AA).
    NOTE: Prepare the FA solution freshly from a 37% acid free FA solution stabilized with approximate 10% methanol. Dilute the FA solution further with Dulbecco’s phosphate buffered saline (DPBS). Choose DPBS without calcium and magnesium. Keep the dilute FA solution no longer than one month. During acidification the pH of the fixative solution is changing from neutral to approximately 3.
    CAUTION: Because FA is acute organ toxic, corrosive and carcinogenic, the use of a fume hood is mandatory and appropriate protective personal equipment must be used.
    1. Add the freshly removed soft-tissue sample to a 50-mL centrifuge tube and refrigerate the 50-mL centrifuge tube for 24-72h.
      NOTE: The protocol can be paused here.
    2. Wash the soft-tissue sample with DPBS solution for 1h.
  2. To stain the fixated soft-tissue sample (e.g., a whole mouse kidney), place the soft-tissue in 2 mL of eosin Y-staining solution and incubate the sample for 24 h. Keep the sample on a horizontal shaking plate for a smooth rocking (ca. 60 rpm) during the incubation process.
    NOTE: The eosin Y-staining solution has a concentration of 30% (w/v) in distilled water. Choose the volume of the staining solution in such a way that the sample is completely covered by the staining solution and allow the sample to move freely within the sample container. The incubation time may differ for other samples and has to be adjusted accordingly.
  3. After staining, remove the soft-tissue sample carefully from the sample container.
    1. Carefully remove excess of staining agent with cellulose tissue paper.
    2. Place the soft-tissue sample in a conical sample container above an ethanol vapor phase for storage and further use.
      NOTE: The conical sample container must always contain a few drops of 70% (v/v) ethanol at the bottom of the tube to keep the soft-tissue sample moist and prevent artifacts.

2. X-ray microCT imaging

NOTE: The X-ray microCT measurements were performed with a microCT scanner, which offers overview CT measurements (the ability to image the entire sample within the field of view (FOV)) and the performance of high-resolution CT measurements (the ability to focus in on one desired volume of interest (VOI) of the very same sample) down to 1 µm.

  1. Mount the soft-tissue sample to an appropriate sample holder. Ensure a tight fit of the sample on the sample holder to prevent the sample from moving during the X-ray CT measurements.
    1. In case of the stained mouse kidney: Prepare a sample holder with two centrifuge tubes, whereby the bottom of one tube is cut off. Glue the two centrifuge tubes together using two-component adhesive. Ensure a straight alignment of the centrifuge tubes around the rotation axis. Wait for the adhesive to harden.
    2. Once the sample holder is ready for use, transfer the mouse kidney into the intact centrifuge tube, which holds a few drops of 70% (v/v) ethanol at the bottom of the tube.
      NOTE: Stability of the sample is crucial. Take time to prepare the sample for X-ray CT measurements. The soft-tissue sample is kept over an ethanol vapor phase to keep the sample moist during the X-ray CT measurements and prevent the soft-tissue sample from shrinkage and other artifacts. The soft-tissue sample should not be in contact with the solvent to obviate accumulation of the solvent around the sample during X-ray CT measurement, which might lead to sample movement during the measurement or might cause problems during reconstruction. If the sample holder does not allow to hold solvent at the bottom, a cellulose paper moistened with 70% (v/v) ethanol can be placed in the sample holder. It should be noted that shrinkage artifacts due to the solvent ethanol were not observed.
      NOTE: The protocol can be paused here.
  2. After careful alignment of the sample, choose acquisition parameters for best image quality. In case of the presented microCT data, acquire the scan at a peak voltage of 50 kV, a current of 3.5 W using 1601 projections equally distributed over 360°.
    NOTE: The acquisition parameters for the overview CT scan were chosen for best image quality. As such the 0.39x camera objective was chosen to cover the whole sample within the field of view (FOV). This resulted in an effective pixel size of 12 µm. The exposure time of 2 s per projection provided a good signal to noise ratio. The ROI for the high-resolution CT scan was identified using the microCT data from the overview scan. MicroCT scanners often incorporate an integrated software tool, which allows for the precise selection of the determined ROI. For the high-resolution CT data, the 4x camera objective was chosen resulting in an effective pixel size of 3.3 µm. Here, an exposure time of 15 s per projection was needed.
    NOTE: The protocol can be paused here.
  3. After acquisition of the X-ray CT data, process the projections accordingly for reconstruction of the 3D volume. In case of the presented microCT data: Reconstruct the X-ray CT data with the integrated software.
    NOTE: The volume renderings of the microCT data shown in Figure 1 and Figure 2 were generated using a visualization software.
    NOTE: The protocol can be paused here.

3. X-ray nanoCT imaging

NOTE: The X-ray nanoCT scanner has been developed inhouse. The lens free instrument is equipped with a nanofocus X-ray source and a single-photon counting detector. 3D data with resolutions down to 100 nm can be generated10. Generally, nanoCT systems including those with X-ray optics are commercially available and not limited to the described nanoCT scanner.

  1. NanoCT sample preparation
    1. Prepare VOIs of the soft-tissue sample. Cut the soft tissue into very small pieces of approximately 0.5 mm edge length using a scalpel and a stereomicroscope. In case of the mouse kidney: Cut the mouse kidney into two halves along the longest axis. Take one half of the mouse kidney and prepare different anatomical regions such as renal cortex and renal medulla.
      NOTE: The other halve of the mouse kidney was transferred to histopathology, where the sample was embedded into paraffin and processed accordingly to yield the typical histological sections as seen in Figure 3c and Figure 3d.
    2. Transfer the small pieces before the first dehydration step to a new Petri dish, where they remain for all subsequent steps.
    3. Dehydrate the samples using concentrations (all v/v) in %: 50, 60, 70, 80, 90, 96 and 100 ethanol balanced with distilled water. Perform each dehydration step for 1 h each.
      NOTE: The protocol can be paused here. Keep the small tissue pieces in 100% ethanol overnight.
    4. Critical point dry (CPD) the small tissue pieces.
      NOTE: The application of CPD enables the complete dehydration of the tissue sample by exchanging the solvent (here ethanol) with the drying agent (here CO2). This has been necessary to ensure that the sample can be mounted to the sample holders of the nanoCT, is not moving during the measurement and can be positioned very close to the X-ray source to allow for best geometrical magnification. The nanoCT setup is based on mere geometrical magnification, with the magnification factor being defined as the source-to-detector distance over the source-to-sample distance. The drying technique was first introduced by Anderson to preserve the 3D structure of biological specimens for electron microscopy28. An overview of the technique is provided by Bray29.
      1. Prefill the vacuum chamber with 100% ethanol. Transfer the small tissue pieces into a micro-porous capsule and place it in the vacuum chamber of the CPD. Close the system.
        NOTE: Since high pressure is involved in the CPD process, ensure all parts of the CPD, in particular the fittings, are intact and the system is properly closed.
      2. Cool the chamber to 6- 8°C and fill up with liquid CO2.
      3. While stirring, wait 3 min to allow for proper mixing of the two components. Carefully drain the chamber. Ensure the sample holder is still covered with solvent. Repeat this step ten times to allow complete replacement of ethanol with CO2 within the sample.
      4. After the final filling of the chamber with CO2, heat the machine to the critical point of CO2 (31 °C and 73.8bar) followed by very slow release of the gaseous CO2 over a time of 30 min.
        NOTE: The release of the gas should be undertaken very slowly as otherwise condense water can form on the sample. Ensure that the temperature does not drop below the critical point of CO2. Only open the CPD machine when all pressure has been released from the system.
      5. Remove the CPD tissue pieces quickly from the machine and keep them in a new Petri dish stored in a desiccator prior to further use.
        NOTE: The protocol can be paused here.
  2. Mount the CPD tissue pieces to an appropriate sample holder. Ensure a tight fit of the sample on the sample holder to prevent the sample from moving during the CT measurements. In case of the CPD mouse kidney tissue pieces: Glue the tissue pieces with superglue to a sample holder.
    NOTE: Any undesired movement of the sample during CT measurements can cause problems during volume reconstruction - especially when acquiring a data set with nanometer voxel size.
    NOTE: The protocol can be paused here.
  3. After careful alignment of the sample, choose acquisition parameters for best image quality. In case of the presented nanoCT data: Acquire projections at a peak voltage of 60 kV with 1599 projections equally distributed over 360° and a voxel size of approximately 400 nm.
    NOTE: A single CT measurement acquired at 400 nm voxel size has a FOV of 75 µm in the direction of the rotation axis (vertical) and approximately 560 µm in the direction perpendicular to the rotation axis (horizontal). To investigate larger volumes, an extension of the FOV along the rotation axis can be achieved by combining multiple scans at different vertical positions. Additionally, local tomography scans can be performed to measure samples with a larger sample diameter perpendicular to the rotation axis than given by the FOV of a global CT scan. The nanoCT data was acquired with an exposure time of 4 s per projection. As such the total acquisition time per data set was approximately 3.5 h.
    NOTE: The protocol can be paused here.
  4. After acquisition of the CT data, process the projections accordingly for reconstruction of the 3D volume.
    1. In case of the presented nanoCT data, normalize the acquired projections with flatfield images. Enhance the sharpness of the projections by using a Richardson-Lucy deconvolution algorithm30,31. Use a rotationally symmetric Gaussian function with a standard deviation of one pixel as deconvolution kernel.
    2. Apply Paganin’s phase-retrieval algorithm to the sharpened images to increase the soft-tissue contrast. Set the parameters of the algorithm to optimize the image quality32. Reconstruct the preprocessed projections with a state-of-the-art filtered backprojection algorithm.
      NOTE: Figure 3 evaluates the obtained nanoCT data with corresponding histological sections, which were approximately 7 µm thick. Therefore, minimum intensity projection slices of 18 adjacent nanoCT slices with a virtual thickness of approximately 7 µm were generated by means of calculating the minimum value for each pixel in the relevant slices. A visualization software was used to render the volume of the nanoCT data, which is displayed in Figure 4.

Representative Results

Figure 1 shows CT slices and volume rendering of low-resolution microCT data highlighting contrast enhancement after staining. Figure 2 shows CT slices and volume rendering of high-resolution microCT data derived from a local tomography of the whole mouse kidney. Figure 3 shows CT slices of nanoCT data in comparison to the corresponding histological sections. Figure 4 shows CT slice and volume rendering of nanoCT data highlighting structural details at cellular level. The low-resolution microCT measurement allows for an overview of the whole organ and helps to identify volumes of interest (VOIs) for the high-resolution microCT measurement. Through this multiscale approach, the VOI for the nanoCT is determined. The nanoCT enables a very detailed view of the soft-tissue sample on cellular level. The comparative study with the corresponding histological section highlights full compatibility with histopathology. Here, the multimodal imaging approach is confirming the results obtained with both modalities.

Figure 1
Figure 1. CT slices and volume rendering of the low-resolution microCT data. (a,b) Overview images of the same mouse kidney before and after staining, respectively, highlighting the contrast enhancement obtained after application of the eosin-based staining protocol. Both microCT data sets were acquired using identical acquisition parameters. The voxel size in both data sets is 12 µm. The contrast enhancement achieved in (b) enables the identification of the following anatomic structural regions: Cortex (I), outer medulla (II) with further distinction in outer stripes of outer medulla (IIa) and inner stripes of outer medulla (IIb), inner medulla (III), papilla (IV) and renal pelvis (V). (c) Volume rendering of microCT data showing a virtual sagittal section through the whole mouse kidney. This figure has been modified from Busse and Müller et al.26 Please click here to view a larger version of this figure.

Figure 2
Figure 2. CT slice and volume rendering of high-resolution microCT data derived from the same mouse kidney after application of the developed eosin-based staining protocol. (a) The left corner shows the overview microCT image highlighting the ROI (blue box) for the displayed high-resolution image. The following anatomic structural regions are identifiable: Cortex (I), outer medulla (II) with further distinction in outer stripes of outer medulla (IIa) and inner stripes of outer medulla (IIb), inner medulla (III), minor calyx (IV) and vessels (V and VI). (b) Volume of interest rendering of the high-resolution microCT data acquired with a voxel size of 3.3 µm. The medulla region and a virtual section through a vessel derived from a local tomography of the whole kidney is shown. This figure has been modified from Busse and Müller et al.26. Please click here to view a larger version of this figure.

Figure 3
Figure 3. CT slices of nanoCT data (a,b) in comparison to the histological sections (c,d) derived from the same mouse kidney after application of the developed eosin-based staining protocol. (a) The nanoCT image of the same mouse kidney sample after staining, dissecting and CPD shows detailed structures of region (IIb) seen in Figure 1 and Figure 2. These are known as thick ascending limbs of the loop of Henle. (b) Minimum intensity projection slice derived from the same nanoCT data set shown in (a) with a virtual slice thickness of approximately 7 µm, which allows for clear visualization of the cell nuclei. (c) Representative histological section displaying thick ascending limbs of the loop of Henle with clear visualization of cell nuclei and brush border. The histological section has an approximate thickness of 7 µm and was obtained from the same mouse kidney sample after the applied eosin-based staining and embedding in a paraffin block. (d) Representative histological section with application of counter stain hematoxylin highlighting the cell nuclei in purple. Preparation of the histological section close to the section shown in (c) with approximate thickness of 7 µm. This figure has been modified from Busse and Müller et al.26 Please click here to view a larger version of this figure.

Figure 4
Figure 4. CT slice and volume rendering of nanoCT data. (a) The nanoCT image of the same mouse kidney sample showing the structures known as thick ascending limbs of the loop of Henle. This is a detailed view of region (IIb) seen in Figure 1 and Figure 2 acquired from a small piece of the kidney with a voxel size of approximately 400 nm. The preparation of the sample involved staining, dissecting and CPD. (b) Volume rendering of nanoCT data visualizing the 3D structure of thick ascending limbs of the loops of Henle. This figure has been modified from Busse and Müller et al.26 Please click here to view a larger version of this figure.


Currently, eosin is used as the standard histological protocol to label the cell cytoplasm. The staining agent is applied as a 0.1% (w/v) aqueous solution to microscopic slices of soft tissue (generally cut with a thickness of 2-10 µm)33. The application of this standardized histological protocol to 3D tissue samples such as a whole mouse kidney does not result in an attenuation contrast enhanced CT image. On the one hand, this can be attributed to the low intrinsic attenuation properties of soft tissue for typically used X-ray energies of laboratory-based microCT systems. Usually, soft tissue is composed of mainly carbon, hydrogen, oxygen and nitrogen34, and therefore, does not result in contrast enhancement. On the other hand, the low concentration of eosin used for staining was the limiting factor. Even though one eosin molecule holds four bromide atoms (high atomic number element bromine with Z = 3534), the sensitivity levels required for X-ray CT imaging were not met.

To overcome this challenge of low attenuation contrast, several concentrations of eosin were investigated. A limitation is here the maximum solubility of eosin in water, which is 30% (w/v) in an aqueous solution. Best attenuation contrast enhancement within the soft tissue was observed with the highest eosin concentration, which was expected according to the Lambert-Beer Law. Therefore, the final staining protocol was carried out with the highest concentration.

The question how to prepare the soft tissue optimally on a molecular level for the staining procedure to further improve contrast enhancement was answered by pH adjustment. Here, the acidification of the soft-tissue sample during fixation or before staining was found to be crucial. This was also shown by Hong et al.35. The higher accumulation of staining agent within the cell cytoplasm by the acid was achieved through improved ionic interactions, which were a result of the protonation of amino acid side chains of proteins and peptides present within the cell cytoplasm. A representative result highlighting the contrast enhancement in comparison to an unstained soft-tissue sample is shown in Figure 1a,b. Here, a structural overview of a whole mouse kidney visualizing crucial anatomical regions such as cortex, medulla, papilla and renal pelvis was achieved.

The presented staining protocol is simple to apply and contains only three steps. The required reagents are easily accessible. The overall staining time of 24 hours is fast for a whole-organ staining, which enables the 3D visualization of soft-tissue samples (Figure 1c, Figure 2b and Figure 4b) in a laboratory environment at multiple scales down to cellular level. It should be noted that the overall staining time and volume of the staining solution needed might request some adaptations depending on the nature of the sample. Nevertheless, the eosin-based staining protocol is suitable for whole-organ staining, which then enables high-resolution microCT imaging of whole organs. Shrinkage artifacts due to the solvent ethanol, which was used to keep the sample moist during the microCT measurements, were not observed. Additional preparation steps are required for nanoCT imaging, which allows for the investigation of smaller tissue pieces retrieved from the original sample. With respect to future histopathological applications, the overview scans will provide valuable insights into altered anatomical regions and structures, which allow for the determination of ROIs as demonstrated in Figure 2a. Those can be studied in 3D by microCT (Figure 1c and Figure 2b) or nanoCT (Figure 4b) and evaluated in 2D with histology (Figure 3).

Another strength of the protocol is seen in the full compatibility with histopathology with respect to the H&E staining procedure. The application of the eosin-based staining procedure to bulk samples does not impede further histological investigations (Figure 3), even though the applied eosin concentration is much higher compared to the histological staining solution. The nanoCT slice with a virtual thickness of approximately 400 nm (Figure 3a) compares already very well with the histological section (Figure 3c), which was derived from the corresponding soft-tissue sample. Considering the approximate thickness of a histological section with 7-10 µm, the generation of minimum intensity projection slices of the nanoCT data (Figure 3b), which correspond to a virtual thickness of approximately 7 µm, allows for a better comparison with the histological section (Figure 3c). Here, the cell nuclei are clearly revealed as non-attenuation area as eosin specifically stains proteins and peptides in the cell cytoplasm33.

The application of further counter staining with standard histological methods is possible, even though the order of the staining compared to the standard histological staining procedure was reversed. Starting first with the developed eosin-based staining protocol for CT, followed by counter staining of those eosin-based histological sections with hematoxylin, allows for full compatibility and results in a high-quality staining displaying the expected form of appearance. The cell nuclei-specific staining with Mayer’s sour hematoxylin was applied to the histological section highlighting the cell nuclei in purple (Figure 3d). The application of histological counter staining is currently limited to the H-stain. Other standard histological counter stainings such as periodic acid Schiff’s base, Elastica van Gieson or Gomori silver have to be evaluated as well as the compatibility with immunohistological techniques needs to be tested.

The eosin-based staining protocol allows for (i) cell cytoplasm-specific targeting, (ii) homogenous and complete staining, (iii) easy implementation, (iv) fast penetration of the tissue without creating artifacts such as diffusion rings, (v) the staining of large and dense soft-tissue samples, and (vi) full compatibility with histopathology in respect of the H&E stain. These requirements are important to allow high-resolution X-ray CT visualization of soft tissue down to cellular level. In combination with the recently developed nanoCT devices12,36,37, nondestructive generation of virtual histological slices that are comparable in contrast and resolution to conventional histological data is rendered possible. This combined approach will enable the establishment of X-ray CT as a valuable tool for the 3D visualization of microscopic tissue structures.


The authors have nothing to disclose.


We thank Dr. Enken Drecoll for histological discussions and the extremely helpful team at Excillum AB, Sweden. We acknowledge financial support through the DFG Cluster of Excellence Munich Center for Advanced Photonics (MAP) and the DFG Gottfried Wilhelm Leibniz Program. Furthermore, this research project has received funding from the European’s Union Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. H2020-MSCA-IF-2015-703745-CONSALT.


Name Company Catalog Number Comments
50-ml centrifuge tube by Falcon VWR 734-0453
Formaldehyde solution, 37% Carl Roth CP10.2 acid-free, stabilized with ~10% MeOH
Glacial acetic acid Alfa Aesar 36289.AP
Eosin Y disodium salt Sigma-Aldrich E4382 certified by Biological Stain Commission
Phosphate Buffered Saline (PBS) Merck L1825 Dulbecco's formualtion, w/o calcium and magnesium
Sample Tubes by Nalgene Carl Roth ATK5.1
Rocking Shaker ST5 CAT 60281-0000
Cellulose tissue paper VWR 115-0600
Forceps, by USBECK Laborgeräte VWR 232-0096
Microcentrifuge tubes by Eppendorf VWR 211-2120 safe-lock, 2.0 ml
Ethanol absolute by Baker Analyzed VWR 80252500
Disposable safety scalpel by Aesculap VWR  AESCBA210
Petri dish by Sterilin VWR 391-2019
Plastic pasteur pipette Carl Roth EA68.1 graduated, 1 ml
Desiccator by Duran VWR SCOT247826954
Silicone grease by Bayer Sigma-Aldrich 85404 high-vacuum
Carbon dioxide cylinder with standpipe Linde 3700113 10 kg, short
micro-porous treatment capsule PLANO GmbH 4614 pore size 78 µm (B)
Bal-Tec CPD 030 Bal-Tec AG CO2 as drying agent
Stemi 2000-C stereomicroscope with KL 1500 LCD Zeiss this stereomicroscope has been updated(1)
Zeiss Xradia Versa 500 Zeiss this microCT scanner has been updated(2)
Avizo Fire 8.1 Thermo Fisher Scientific
PILATUS detector as part of the nanoCT scanner Dectris single-photon counting detector(4,5); there are commercially availble nanoCT systems available (6,7)
nanofocus X-ray source as part of the nanoCT scanner Excillum high-flux nanofocus X-ray transmission tube(3); there are commercially availble nanoCT systems available(6,7)
(1) Germany, Z. ZEISS product information: ZEISS stereomicroscopes https://www.micro-shop.zeiss.com/de/de/system/Stereomikroskope/1006> (September 06, 2019).
(2) Germany, Z. ZEISS product information: ZEISS Xradia 510 Versa https://www.zeiss.com/microscopy/int/products/x-ray-microscopy/zeiss-xradia-510-versa.html> (April 10, 2019).
(3) Nachtrab, F. et al. Development of a Timepix based detector for the NanoXCT project. Journal of Instrumentation 10 (11), C11009, (2015).
(4) Kraft, P. et al. Performance of single-photon-counting PILATUS detector modules. Journal of Synchrotron Radiation 16 (3), 368-375, (2009).
(5) Kraft, P. et al. Characterization and calibration of PILATUS detectors. IEEE Transactions on Nuclear Science 56 (3), 758-764, (2009).
(6) Germany, Z. ZEISS product information: ZEISS Xradia 810 Ultra https://www.zeiss.com/microscopy/int/products/x-ray-microscopy/xradia-810-ultra.html> (April 9 2019).
(7) Company, G. E. GE product information: Phoenix nanotom m, https://www.gemeasurement.com/sites/gemc.dev/files/geit-31344en_nanotom_m_0517.pdf> (April 10, 2019).



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