Materials and Reagents

Blu Tack (Bostik, catalog number: 371351)
Glass microscope slide (Matsunami, catalog number: S024410)
Glass microscope coverslip (Matsunami, catalog number: C018181)
Basukoku (Cemedine; silicone-based adhesive, catalog number: HJ-148)
Alexa Fluor 488-conjugated goat anti-rabbit IgG (H+L) (Life Technologies, catalog number: 1937195)
4% paraformaldehyde diluted in phosphate-buffered saline (PBS) (Wako, catalog number: 163-20145)
Triton X-100 (Nacalai-Tesque, catalog number: 12967-45)
Urea (SIGMA, catalog number: U0631-1KG)
Guanidine hydrochloride (Nacalai-Tesque, catalog number: 17318-82)
D-sorbitol (SIGMA, catalog number: S1816-1KG)
D-glucose (SIGMA, catalog number: G8270-100G)
Rabbit polyclonal anti-myosin VIIa antibody (Proteus Biosciences, catalog number: 25-6790)
10% EDTA-2Na (Muto Pure Chemicals, catalog number: 85653)
NaCl
KCl
Na₂HPO₄·12H₂O
KH₂PO₄
Solution 1 (see Recipes)
Solution 2 (see Recipes)
PBS (see Recipes)

Equipment

Dumont tweezers, straight (World Precision Instruments, catalog number: 500233)
Dumont tweezers, straight (World Precision Instruments, catalog number: 14098)
Stereoscopic microscope (for microdissection), e.g., SMZ-2B (Nikon)
Fluorescence microscope
Confocal microscope (for imaging at a depth of up to 300-500 μm), e.g., A1MP confocal microscope (Nikon)
Multiphoton microscope (recommended for deeper imaging), e.g., A1MP two-photon microscope (Nikon)
Objective lenses (long working distance objectives), e.g., N25X-APO-MP (NA1.10, WD2.00) for multiphoton imaging and VC 20x (NA0.75, WD1.00) for confocal imaging
Water bath at 37 °C
Fridge at 4 °C

Software

Microsoft Excel (Microsoft)
MATLAB (MathWorks, version R2017b)
Image Processing Toolbox
Statistics and Machine Learning Toolbox
Neural Network Toolbox

Procedure

Modified Sca/eS protocol (see Figure 1)

Figure 1. Time course of modified Sca/eS. The inner ear embedded in the temporal bone was removed (panel A) and dissected along the fistula (B) (dotted lines in the left of panel A). The cochlea was separated (dotted line in panel C) from the semicircular canals along the fissure (red arrow in panel C). The cochlea was removed [panel D and (i)] and decalcified (ii). The sample was cleared immediately after being submerged in solution 1 (iii). The sample was then submerged in solution 2 and its transparency gradually increased (iv-viii). A: anterior, P: posterior, M: medial, L: lateral, C: cochlea, SC: semicircular canal, RI: refractive index. Scale bar: 1 mm.
1. Extraction of the cochlea from the temporal bone
  1. Fix the cochlea in 4% paraformaldehyde prepared in PBS overnight at 4 °C with gentle shaking.
  2. Wash the cochlea three times (15 min each) with PBS.
  3. Incubate the samples in 500 mM EDTA prepared in PBS for 48-120 h at 37 °C.
    Note: The incubation duration depends on the sample size. For example, 48 h for pups, 72 h for young (2-week-old) mice, and 120 h for middle-age (6-month-old) mice.
  4. Wash the cochlea three times (15 min each) with PBS.
  5. Remove excess bone tissue surrounding the cochlea.
  6. Remove the vestibule and semicircular canal.
2. Tissue de-lipidation (see Figure 1 and Solution 1 in Recipes)
  Incubate the samples in Solution 1 for 2 h at 37 °C.
3. Antibody staining (see Figure 1)
  1. Wash the samples with PBS containing 0.1% Triton X-100 for 30 min with continuous rocking at 40 rpm.
  2. Incubate the samples in a solution containing the appropriate dilutions of primary antibodies for 2-48 h at 37 °C.
  3. Wash the samples three times (30 min each) with PBS containing 0.1% Triton X-100 with continuous rocking at 40 rpm.
  4. Detect primary antibodies by incubating the samples with a solution containing secondary antibodies for 12-48 h at 37 °C followed by three washes with PBS containing 0.1% Triton X-100.
4. Sample preparation for imaging (see Figures 2 and 3)
  1. Roll up a piece of Blu Tack into a cylindrical shape that is slightly thicker than the cochlea [Figure 2 (i)].
  2. Align Basukoku in a horseshoe shape on the glass slide [Figure 2 (ii)].
  3. Place the Blu Tack on the Basukoku [Figure 2 (iii, iv)].
  4. Place a drop of Basukoku inside the Blu Tack horseshoe to make a pedestal for the cochlea [Figure 2 (v)].
  5. Carefully place the cochlea on the pedestal [Figure 2 (vi)].
    Note: Position the cochlea so that the axis of the center of the cochlea is aligned perpendicular to the glass slide (Figure 2).
  6. Place the cover glass on the surface of the Blu Tack and gently push it toward the surface of the cochlea [Figure 2 (vii)].
    Note: Keep pushing the cover glass until it reaches the surface of the cochlea. This process is critical to image the whole cochlea [Figure 2 (vii-a)].
  7. With the horseshoe opening facing upward, add 100 μl of solution 2 (see Recipes) to the gap within the horseshoe until the imaging chamber is filled [Figure 2 (viii)].
    Note: Images iv-viii in Figure 1 show how transparent the cochlea becomes after 20 min (images were acquired at increments of 5 min).
  8. Fill the gap between the Blu Tack with Basukoku to seal the horseshoe opening [Figure 2 (ix)].
    Note: Air bubbles should not remain in the chamber; this would indicate potential leaking of solution 2 and cause the sample to dry out.
  Figure 2. Sample preparation for the imaging step
  
  Figure 3. Cochlea position. The center of the first (green) and second (red) turns of the cochlea. Images on the left are the ideal position for imaging of HCs in the whole cochlea, where d represents the distance between the centers of the green and red areas. Upper panels (A) show all HCs imaged using a two-photon microscope in a successful case. Lower panels (B) are representative cases where the approach failed. Images on the left are from the top view, while images on the right are from the side view. The modiolus of the cochlea should be perpendicular to the slide glass [i.e., centers should overlap (purple)].
5. Imaging of the sample
  1. Place one drop of distilled water on the cover glass and then place the objective lens against the cover glass.
    Note: Use an appropriate immersion media for high-resolution imaging. Water-immersion lenses perform much better than air-immersion objective lenses.
  2. To image the whole cochlea, images should be successively acquired with 10-40% overlap [Figure 2 (i)].
  3. See example images of sample processed with previous well known clearing methods (Figure 4).
  Figure 4. Comparison with other clearing methods. MYO7A-immunopositive HCs in samples were not detected by 3DISCO, iDISCO, CLARITY, or CUBIC (A). Microdissection of the membrane labyrinth of the iDISCO-processed samples in panel A confirmed the presence of MYO7A-immunopositive HCs, suggesting that the surrounding bone tissue prevented the detection of fluorescence (B). Scale bars: 500 µm in panel A and upper image of panel B, 100 µm in lower image of panel B.
Automated HC analysis protocol based on machine learning
HCs were automatically detected and analyzed using custom MATLAB scripts (R2017b, MathWorks), the details of which were provided in a previous study (Urata et al., 2019). The MATLAB source code is available on GitHub (https://github.com/okabe-lab/cochlea-analyzer.git). Data analysis procedures including statistical analysis were described in the original publication of the protocol (Urata et al., 2019). The actual running of the program was shown in this protocol paper.
1. The main0.m program (1 min) checks the integrity of the software so that automated analysis can be flawlessly performed (see Video 1).
  Note: If an error occurs during the process, double check to see if any required files are absent under “Function Files” on GitHub (https://github.com/okabe-lab/cochlea-analyzer.git).
  
  Video 1. Checking the integrity of the software before performing automated analysis using main0.m
2. The main1.m program merges all the files together to create a linearized image of HCs, which takes about 15 min in total (Step B2 in Figure 5 and see Video 2).
  Note: If the main0.m program completes without an error, it is guaranteed to function properly. A TIFF image is produced in this step.
  
  Video 2. Merging of all the acquired files together to create a linearized image of HCs using main1.m
  
  Figure 5. Image generation by the programs. Raw images are stitched (Step 1), and the lines between inner and outer HCs are illustrated (orange line in Step 2). Finally, HCs are linearized and representative images of the apical, middle, and basal portions are enlarged. Colored dots in Step 3 and Step 4 indicate the presence of HCs, and asterisks represent loss of HCs.
3. The main2.m (inner HCs, duration 5 min, see Video 3) and main3.m (outer HCs, duration 3 min, see Video 4) programs detect 169 HCs.
  Notes:
  1. An EXCEL file containing the coordinates of recorded (or imaged) HCs is generated in this step.
  2. Advanced analysis is available using the main4-6.m programs. The main4.m program analyzes (< 1 min) the spatial distribution of outer HCs and the main5.m program generates (< 1 min) a holocochleogram (see Video 5). The main6.m program analyzes (10 min) clusters of HC loss (see Video 6).
  Video 3. Imaging of inner HCs using the main2.m program
  
  Video 4. Imaging of outer HCs using the main3.m program
  
  Video 5. Analysis of the spatial distribution of outer HCs using the main4.m program and generation of a holocochleogram using the main5.m program
  
  Video 6. Analysis of clustered HC loss using the main6.m program

Recipes

Solution 1 (20 ml)
5.7 g of guanidinium chloride
7 g of D-sorbitol
3 g of D-glucose
800 µl (w/v) of Triton X-100 in PBS (pH 6.0-8.0)
Solution 2 (20 ml)
5.7 g of guanidinium chloride (or 4.8 g of urea)
12 g of D-sorbitol
20 µl of Triton X-100 in PBS (pH 7.1)
Note: The solution can be kept at room temperature for up to 2 months for good clearing.
PBS
80 g of NaCl
2 g of KCl
29 g of Na₂HPO₄·12H₂O
2 g of KH₂PO₄
Add distilled H₂O to prepare 1 L of 10x PBS
Dilute 10-fold with distilled H₂O to prepare 1x PBS

Acknowledgments

We thank Dr. Shigeo Okabe for helpful suggestions and supervision. This method was adapted from our original publication of the protocol (Urata et al., 2019). This work was supported by grants from the Japan Society for the Promotion of Science KAKENHI (15K10743, 2653081, and 16K15717), the Japan Science and Technology Agency (JPMJCR14W2), the Japan Agency for Medical Research and Development (17gm5010003), the Japan Society for the Promotion of Science (17H01387), the UTokyo Center for Integrative Science of Human Behavior, and the Ministry of Education, Culture, Sports, Science, and Technology (18H04727 and 26111506).

Competing interests

The authors have no conflicts of interest to declare.

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