Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2504.13349 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866908427964383232 |
|---|---|
| author | Balaji, Muralidhar Madabhushi Ahsanullah, Danyal Rangarajan, Prasanna |
| author_facet | Balaji, Muralidhar Madabhushi Ahsanullah, Danyal Rangarajan, Prasanna |
| contents | Non-invasive detection of objects embedded inside an optically scattering medium is essential for numerous applications in engineering and sciences. However, in most applications light at visible or near-infrared wavebands is scattered by the medium resulting in the obscuration of the embedded objects. Existing methods to overcome scattering generally rely on point-by-point scanning strategies, which limit spatial sampling density. In this work, we address the sampling limitations by drawing inspiration from multisensory integration mechanisms observed in nature, wherein distinct sensing modalities work together to enhance the perception of the surroundings. Our multisensory approach leverages the unique advantages of coherent light by combining the sensitivity of an interferometric LiDAR with a wide field neuromorphic sensor to probe objects inside a densely scattering medium. The neuromorphic camera provides wide field spatial cues of the embedded object, by monitoring the fluctuations in the speckle patterns produced by tuning the laser frequency. These spatial cues are used to guide a point-scanning FMCW LiDAR to retrieve high-resolution images. Using this approach, we imaged objects embedded within an 8 cm thick (>100 transport mean free paths), tissue-like scattering medium with a 10x improvement in sampling density compared to traditional uniform sampling. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_13349 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Multisensory Approach to Probing Scattering Media Balaji, Muralidhar Madabhushi Ahsanullah, Danyal Rangarajan, Prasanna Optics Non-invasive detection of objects embedded inside an optically scattering medium is essential for numerous applications in engineering and sciences. However, in most applications light at visible or near-infrared wavebands is scattered by the medium resulting in the obscuration of the embedded objects. Existing methods to overcome scattering generally rely on point-by-point scanning strategies, which limit spatial sampling density. In this work, we address the sampling limitations by drawing inspiration from multisensory integration mechanisms observed in nature, wherein distinct sensing modalities work together to enhance the perception of the surroundings. Our multisensory approach leverages the unique advantages of coherent light by combining the sensitivity of an interferometric LiDAR with a wide field neuromorphic sensor to probe objects inside a densely scattering medium. The neuromorphic camera provides wide field spatial cues of the embedded object, by monitoring the fluctuations in the speckle patterns produced by tuning the laser frequency. These spatial cues are used to guide a point-scanning FMCW LiDAR to retrieve high-resolution images. Using this approach, we imaged objects embedded within an 8 cm thick (>100 transport mean free paths), tissue-like scattering medium with a 10x improvement in sampling density compared to traditional uniform sampling. |
| title | A Multisensory Approach to Probing Scattering Media |
| topic | Optics |
| url | https://arxiv.org/abs/2504.13349 |