Here, we present a protocol to distinguish intrafibrillar versus extrafibrillar mineralization in recombinant collagen fibrils using multicolor 3D‑STORM, integrating optimized labeling, imaging, and quantitative colocalization analysis.
Method Article
Here, we present a protocol to distinguish intrafibrillar versus extrafibrillar mineralization in recombinant collagen fibrils using multicolor 3D‑STORM, integrating optimized labeling, imaging, and quantitative colocalization analysis.
This protocol describes a multicolor three-dimensional stochastic optical reconstruction microscopy (3D-STORM) method for nanoscale visualization of collagen mineralization in a recombinant type I collagen self-assembled fibril model. The method enables simultaneous imaging of collagen, non-collagenous proteins (e.g., chondroitin sulfate), and calcium phosphate mineral phases. Sample preparation involves amino‑silanization and collagen self‑assembly, followed by mineralization using a calcium phosphate medium that forms amorphous calcium phosphate (ACP) at an early stage (30 min) and matures into hydroxyapatite (HAP) by 6 h. Multiplexed immunofluorescence labeling is then performed, and samples are first assessed by confocal microscopy before 3D-STORM image acquisition using an oxygen-scavenging imaging buffer. Data processing and analysis are carried out using publicly available software. Compared to conventional electron or confocal microscopy, this protocol combines molecular specificity with nanoscale resolution (typical lateral precision 20–30 nm, axial 50–60 nm), allowing three‑dimensional visualization of intrafibrillar versus extrafibrillar mineralization patterns. Representative results show clear visualization of collagen networks, associated non-collagenous proteins, and mineral phases within three-dimensional space. Quantitative metrics including Pearson’s correlation coefficient (0.89 ± 0.04) and Manders’ overlap coefficient (0.91 ± 0.03) are provided in the Results section. This protocol offers a powerful tool for researchers in biomaterials science, biomineralization, and bone tissue engineering who require nanoscale insight into mineralization dynamics.
Collagen mineralization is a fundamental biological process pivotal in the formation of hard tissues such as bones and teeth1. The intricate structure of collagen fibers, coupled with finely tuned regulation of mineral deposition, endows remarkable mechanical strength and structural integrity to these tissues2. Collagen serves not merely as a passive scaffold but as an active participant, orchestrating precise mineral deposition through complex molecular and physical interactions3. Elucidating these mechanisms is crucial for understanding pathological conditions such as osteoporosis and dental caries, and for developing biomimetic materials for regenerative therapies4.
The diameter of collagen fibers in hard tissues ranges from approximately 50 to 100 nm, with hydroxyapatite (HAP) particles being even smaller (typically 2–5 nm in thickness and 20–30 nm in length) and intercalated within fibrillar gaps5. While gap zones can act as nucleation sites, in native tissues, minerals initially form in interfibrillar spaces and subsequently expand into intrafibrillar compartments. Traditional characterization methods include histological staining, confocal laser scanning microscopy6,7, and electron microscopy8,9. Histological staining provides a macroscopic assessment but cannot evaluate nanoscale mineralization states. Confocal microscopy enables observation of specific components but is diffraction-limited (~200 nm laterally), unable to resolve intrafibrillar versus extrafibrillar mineralization10. Electron microscopy offers high resolution but lacks molecular specificity. Although immunogold labeling can provide molecular specificity for electron microscopy, it requires specialized processing and is less amenable to multiplexed, three-dimensional visualization of multiple components compared to STORM, and involves lengthy experimental cycles and high costs11.
Stochastic optical reconstruction microscopy (STORM) overcomes the diffraction limit by localizing individual fluorophores with high precision, achieving ~20 nm lateral resolution12. In comparison to other super-resolution techniques such as stimulated emission depletion (STED)13microscopy and structured illumination microscopy (SIM)14, STORM offers higher localization precision (~20 nm laterally and ~50 nm axially) and is compatible with a wider range of organic fluorophores. In particular, STED requires specialized dyes and high laser powers that can damage biological samples, while SIM offers only ~100 nm resolution, insufficient to resolve fibril‑scale (50–100 nm) features. STORM provides a practical balance of resolution, multiplexing capability, and sample compatibility. Published guidelines have described standardized test samples to facilitate optimization of STORM imaging parameters and resolution assessment15. When combined with three-dimensional imaging capabilities, 3D-STORM enables nanoscale visualization of multiple components simultaneously16. Recent advances have extended STORM to multicolor and multiplexed imaging, enabling visualization of multiple targets within the same sample17,18.
This protocol uses a biomimetic in vitro model based on self-assembled recombinant type I collagen fibrils and is explicitly designed for in vitro recombinant type I collagen self‑assembled fibril models to distinguish intrafibrillar from extrafibrillar mineralization at the nanoscale. It is not suitable for live‑cell imaging, as STORM requires fixed samples and oxygen‑scavenging buffers. It is also not suitable for native highly mineralized tissues (e.g., mature bone) without prior decalcification or antigen retrieval. If only overall mineral density or large‑area morphology needs assessment, conventional confocal or electron microscopy is more efficient.
The overall goal of this protocol is to provide a standardized, stepwise workflow for using multicolor 3D-STORM to visualize the nanoscale distribution of minerals and non-collagenous proteins within individual collagen fibrils, with specific emphasis on distinguishing intrafibrillar versus extrafibrillar mineralization. This protocol integrates optimized immunolabeling with a tailored imaging buffer to enable simultaneous tracking of multiple organic components (collagen, non-collagenous proteins) and inorganic phases (ACP, HAP) in three dimensions19. A key innovation is the quantitative assessment of intrafibrillar versus extrafibrillar mineralization patterns. Quantification is achieved by two independent criteria: (1) calculating Pearson’s colocalization coefficient between the mineral (a calcium indicator dye (e.g., calcein)) and collagen (a far‑red fluorescent dye) channels using the Colocalization module in image analysis software (coefficient >0.8 indicates strong association); (2) analyzing the persistence of mineral signal throughout Z‑slices of individual fibrils: if mineral signal is present in central slices (Z = 0 to ±120 nm from the fibril’s vertical center) at intensity ≥50% of the maximum, it is classified as intrafibrillar. Unlike conventional electron or confocal microscopy, this protocol combines molecular specificity with nanoscale resolution, enabling three-dimensional spatial distribution of intrafibrillar mineralization.
This protocol is designed for researchers in biomaterials science, biomineralization, and bone tissue engineering requiring nanoscale insight into mineralization dynamics. The standardized procedure can also be adapted to study other mineralized collagen systems, such as demineralized dentin slices or collagen-based hydrogels, by adjusting initial sample preparation steps accordingly.
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All experiments involving biological samples were conducted in accordance with the guidelines and regulations of the Core Facilities, Zhejiang University School of Medicine and were approved by the Institutional Biosafety Committee (Approval Certificate No. BSL20235710079). The experimental protocol described herein utilizes commercially sourced reagents and in vitro biomimetic systems. It does not involve human participants, animal subjects, or human tissue samples, and therefore does not require ethical approval from an institutional review board.
CAUTION: All procedures involving hazardous chemicals must be performed in a fume hood with appropriate personal protective equipment (lab coat, gloves, safety goggles). Dispose of chemical waste according to institutional regulations. For NaN₃, collect waste in a dedicated container marked “azide waste” and do not mix with acids (risk of explosive gas). For glutaraldehyde, inactivate with 10% excess sodium bisulfite before disposal. For β‑mercaptoethanol, oxidize with bleach (1:10 v/v) for 1 h before drain disposal.
NOTE: Immunofluorescence labeling MUST be performed BEFORE mineralization to avoid epitope masking by mineral deposits. For applications requiring post‑mineralization labeling, antigen retrieval may be needed.
1. Preparation of mineralization medium
2. Preparation of recombinant collagen fibers
3. Immunofluorescence labeling (performed BEFORE mineralization)
4. Mineralization of collagen fibers (performed AFTER labeling)
5. Observation under a laser confocal microscope
6. Imaging by Three-dimensional stochastic optical reconstruction microscopy (3D-STORM)
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Successful implementation of this protocol yields a high‑resolution three‑dimensional visualization of mineralized collagen fibrils using multicolor 3D‑STORM. The following results illustrate typical outcomes, quality controls, and quantitative assessments.
Figure 1 shows a multicolor 3D‑STORM reconstruction of a collagen network mineralized with amorphous calcium phosphate (ACP). Collagen (labeled with a far‑red fluorescent dye) appears as a well‑defined fibrilla...
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This protocol provides a comprehensive workflow for nanoscale visualization of collagen mineralization using multicolor 3D-STORM. Several critical steps require particular attention to ensure successful outcomes.
First, sample preparation is foundational for high-quality STORM imaging. The amino-silanization of glass-bottom dishes must be thorough to ensure stable attachment of collagen fibrils throughout subsequent washing and labeling steps. Residual APTES can cause nonspecific binding and h...
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The authors declare no competing financial or non-financial interests. The authors used a large language model for language polishing and formatting assistance during the preparation of this manuscript.
The authors acknowledge technical support from the Core Facilities at Zhejiang University School of Medicine and thank Huihui He and Sisi Zhang for providing collagen samples. We also thank Professor Changyu Shao for his technical guidance. This work was supported by the Natural Science Foundation of Zhejiang Province (LZ25H060002), the Experimental Technology Project of Zhejiang University (SYBJS202321), the Zhejiang Provincial Department of Education (Y202351321), and the Open Research Project of the Key Laboratory of Animal Virology, Ministry of Agriculture and Rural Affairs (202201). All authors have reviewed and approved the final version of the manuscript.
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| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| Polyaspartic acid (p-Asp) | Sigma-Aldrich | P9903 | Stabilizer for amorphous calcium phosphate |
| Calcium chloride (CaCl2) | Sigma-Aldrich | C1016 | Calcium source |
| Sodium phosphate dibasic (Na2HPO4) | Sigma-Aldrich | S0876 | Phosphate source |
| Sodium chloride (NaCl) | Sigma-Aldrich | S9888 | Ionic strength adjuster |
| Polyacrylic acid (PAA) | Sigma-Aldrich | 323667 | Stabilizer for high-concentration calcium |
| Tris base | Sigma-Aldrich | T1503 | Buffer component |
| Sodium azide (NaN3) | Sigma-Aldrich | S2002 | Antimicrobial agent |
| (3-Aminopropyl)triethoxysilane (APTES) | Sigma-Aldrich | 440140 | Glass surface functionalization agent |
| Absolute ethanol | Sigma-Aldrich | 459836 | Solvent |
| Type I collagen solution (50 μg/mL in 0.1 M acetic acid) | Corning | 354249 | Self-assembly scaffold |
| Chondroitin sulfate (CS) | Sigma-Aldrich | C9819 | Non-collagenous protein mimic |
| EDC (1-ethyl-3-(3-dimethylaminopropyl)carbodiimide) | Sigma-Aldrich | E7750 | Crosslinker |
| NHS (N-hydroxysuccinimide) | Sigma-Aldrich | 130672 | Crosslinker activator |
| MES free acid | Sigma-Aldrich | M5287 | Buffer for crosslinking |
| Phosphate-buffered saline (PBS) | Gibco | 10010023 | Washing and dilution buffer |
| Bovine serum albumin (BSA) | Sigma-Aldrich | A3059 | Blocking agent |
| Rabbit anti-collagen-I antibody | Abcam | ab34710 | Primary antibody for collagen |
| Mouse anti-chondroitin sulfate antibody | Sigma-Aldrich | C8035 | Primary antibody for CS |
| Goat anti-rabbit IgG conjugated to far-red fluorescent dye (Alexa Fluor 647) | Thermo Fisher Scientific | A-21244 | Secondary antibody for collagen |
| Goat anti-mouse IgM conjugated to red fluorescent dye (Alexa Fluor 568) | Thermo Fisher Scientific | A-11031 | Secondary antibody for CS |
| Calcein (calcium indicator dye) | Sigma-Aldrich | C0875 | Calcium phosphate label |
| Tween-20 | Sigma-Aldrich | P1379 | Detergent for washing buffer |
| Glycerol | Sigma-Aldrich | G5516 | Imaging buffer component |
| Glucose oxidase (GOx) | Sigma-Aldrich | G7141 | Oxygen scavenger |
| Catalase | Sigma-Aldrich | C1345 | Oxygen scavenger |
| Cysteamine (MEA) | Sigma-Aldrich | M6500 | Thiol for fluorophore blinking |
| D-Glucose | Sigma-Aldrich | G6152 | Substrate for glucose oxidase |
| Sodium acetate | Sigma-Aldrich | S2889 | Buffer for GOx stock |
| Hydrochloric acid (HCl) | Sigma-Aldrich | 320331 | pH adjustment |
| Sodium hydroxide (NaOH) | Sigma-Aldrich | 71690 | pH adjustment |
| Phosphotungstic acid | Sigma-Aldrich | P4006 | Negative stain for TEM |
| Glass-bottom culture dishes (35 mm, #1.5H) | MatTek | P35G-1.5-14-C | Sample substrate; thickness 0.17 mm |
| Ultrasonic cleaner (40 kHz) | Branson | B200 | Cleaning device |
| Humidity chamber | Thermo Fisher Scientific | 11-432-10 | For collagen self-assembly |
| Transmission electron microscope | Hitachi | HT7800 | TEM imaging |
| Formvar/carbon-coated TEM grids (200 mesh) | Sigma-Aldrich | FCF200-Cu | TEM sample support |
| Horizontal shaker platform | Labnet | S2030-RC | Gentle washing |
| Confocal laser scanning microscope | Nikon | A1 | Preliminary screening |
| 3D-STORM microscope system (with 405/488/647 nm lasers, cylindrical lens, EMCCD) | Nikon | N-STORM | Super-resolution imaging |
| 100× oil immersion objective (NA 1.49) | Nikon | MRD01991 | High-resolution imaging |
| pH meter | Mettler Toledo | FiveGo F2 | pH control |
| STORM acquisition and analysis software | Nikon | NIS-Elements (STORM module) | STORM data acquisition and processing |
| .nd2 file format (raw microscopy image file) | Nikon | N/A | Raw image file format generated by Nikon microscopes. |
| Publicly available image analysis software | Open source | N/A | e.g., ImageJ with ThunderSTORM plugin for single-molecule localization analysis (colocalization, drift correction) |
| Parafilm | Bemis | PM996 | Sample covering during incubation |
| Aluminum foil | Any laboratory supplier | N/A | For light protection (e.g., wrapping samples) |
| Amber microcentrifuge tubes | Fisher Scientific | 05-669-21 | For light protection of fluorophores |
| Coverslips (No. 1.5) | Corning | 2855-18 | Sample mounting |
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