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OCT and fluorescence-guided imaging show highest clinical translation among biophotonic methods in veterinary medicineBiophotonics Offer New Ways to Image Veterinary Cancer Patients

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Key Takeaway
Note that OCT and fluorescence-guided imaging are the most clinically translated biophotonic methods in veterinary medicine.

This perspective review evaluates the current state of biophotonics in veterinary medicine, covering technologies such as optical coherence tomography (OCT), fluorescence-guided imaging, hyperspectral imaging, and various spectroscopy methods. The review synthesizes the clinical readiness of these tools for non-invasive visualization, tissue characterization, and surgical guidance.

The authors find that OCT and fluorescence-guided imaging currently possess the highest level of clinical translation in veterinary medicine. In contrast, hyperspectral imaging and Raman spectroscopy are largely confined to research and early translational settings. These technologies offer potential for non-invasive assessment, which may reduce the necessity for invasive sampling or anesthesia in veterinary patients.

Several barriers to widespread adoption are identified, including high equipment costs, a lack of standardized protocols, and limited multicenter validation. Additionally, physical factors such as haircoat, pigmentation, and skin thickness can affect light penetration and signal quality. While promising for surgical and diagnostic applications, the clinical integration of most biophotonic methods remains varied.

How this fits prior evidence

This review addresses a gap in the clinical translation of non-invasive imaging for veterinary patients. While prior coverage identified photoacoustic imaging as an emerging tool for tumor microenvironment visualization, this review highlights that OCT and fluorescence-guided imaging currently have the highest level of clinical translation. It expands the scope of available imaging modalities beyond the previously discussed photoacoustic imaging and electric field modulations.

Veterinarians are exploring biophotonics to better see and monitor tumors in animals. These technologies use light to look at tissues. Some methods, like optical coherence tomography and fluorescence-guided imaging, are already being used more often in clinical settings. Other methods, such as Raman spectroscopy and hyperspectral imaging, are still mostly used in research and early testing.

These tools aim to provide a non-invasive way to check on tumors. By using light instead of traditional methods, doctors might be able to reduce the need for invasive tissue samples. This could also mean less time spent using sedation or anesthesia for pets during the diagnostic process.

There are still some hurdles to using these tools in every clinic. The equipment is currently expensive, and there is a lack of standard rules for how to use them. Additionally, things like a pet's hair, skin thickness, or fur color can sometimes make it harder for the light to reach the tissue clearly. Because these technologies are still evolving, they are currently most useful for specialized monitoring and research.

What this means for you:
Biophotonics offer non-invasive ways to image tumors, potentially reducing the need for sedation in pets.

Common questions

What are the most common biophotonics used in veterinary medicine?

Optical coherence tomography and fluorescence-guided imaging currently have the highest level of clinical translation in veterinary medicine. Other methods, such as Raman spectroscopy and hyperspectral imaging, are currently mostly used in research and early translational settings rather than common clinical practice.

How can these imaging tools help pets with tumors?

These tools provide non-invasive ways to see, monitor, and characterize biological tissues. By using these light-based methods, veterinarians may be able to reduce the need for invasive sampling or the use of sedation and anesthesia during the diagnostic process for patients with neoplasms.

What are the current challenges with using biophotonics in clinics?

Several factors can limit the use of these tools. These include high equipment costs, a lack of standardized protocols, and limited multicenter validation. Additionally, a pet's haircoat, skin thickness, and pigmentation can affect how well the light penetrates the tissue.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedSep 2026
View Original Abstract ↓
Biophotonics, a relatively new scientific field, applies optical or light-based techniques to biology and medicine. These approaches enable non-invasive visualization, monitoring, and characterization of biological tissues and processes, thereby supporting diagnostics, treatments, monitoring, imaging, and surgery. Biophotonic capabilities could be particularly valuable in veterinary medicine, where patients cannot verbally describe symptoms and where rapid, non-invasive assessment may reduce reliance on invasive sampling and, in selected cases, sedation or anesthesia. This perspective review examines the emerging application of biophotonics in veterinary medicine, including optical coherence tomography (OCT), fluorescence-guided imaging, hyperspectral and multispectral imaging, Raman spectroscopy, visible and near-infrared spectroscopy, and diffuse reflectance spectroscopy. Among currently available biophotonic approaches, OCT and fluorescence-guided imaging have achieved the highest level of clinical translation in veterinary medicine, particularly in ophthalmology (retinal layering assessment) and surgical oncology (real-time intraoperative tumor margin delineation). In contrast, hyperspectral imaging and Raman spectroscopy remain largely confined to research and early translational settings despite promising diagnostic performance. Across modalities, major barriers to wider clinical adoption include high equipment costs, lack of standardized protocols, and limited multicenter validation. Finally, animal patients vary considerably in haircoat, pigmentation, and skin thickness, which can affect light penetration and optical signal quality. Nevertheless, multimodal and AI-assisted approaches show strong potential to improve non-invasive diagnostics, intraoperative guidance, and physiologic monitoring in veterinary medicine.
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