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基于带有焦点可调透镜的串联干涉测量法的线场共焦光学相干断层扫描技术。

Line-field confocal optical coherence tomography based on tandem interferometry with a focus-tunable lens.

作者信息

Latriglia Flora, Ogien Jonas, Dubois Arnaud

机构信息

Université Paris-Saclay, Institut d'Optique Graduate School , Centre National de la Recherche Scientifique, Laboratoire Charles Fabry, 91127 Palaiseau, France.

DAMAE Medical, Paris, France.

出版信息

Biomed Opt Express. 2024 Aug 19;15(9):5384-5399. doi: 10.1364/BOE.530717. eCollection 2024 Sep 1.

DOI:10.1364/BOE.530717
PMID:39296418
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11407268/
Abstract

This article introduces an innovative line-field confocal optical coherence tomography (LC-OCT) system based on tandem interferometry, featuring a focus-tunable lens for dynamic focusing. The principle of tandem interferometry is first recalled, and an analytical expression of the interferometric signal detected is established in order to identify the influence of key experimental parameters. The LC-OCT system is based on a Linnik-type imaging interferometer with a focus-tunable lens for focus scanning, coupled to a Michelson-type compensating interferometer using a piezoelectric linear translation stage for coherence plane scanning. The system achieves axial and lateral image resolutions of approximately 1 µm over the entire imaging depth (400 µm), in line with conventional LC-OCT. Vertical section images (B-scans) of skin acquired at 14.3 fps reveal distinguishable structures within the epidermis and dermis. Using refocusing and stitching, images of a tissue phantom were obtained with an imaging depth superior to 1.4 mm. The system holds promise for LC-OCT miniaturization, along with enhanced imaging speed and extended imaging depth.

摘要

本文介绍了一种基于串联干涉测量法的创新型线场共焦光学相干断层扫描（LC-OCT）系统，该系统具有用于动态聚焦的焦点可调透镜。首先回顾了串联干涉测量法的原理，并建立了检测到的干涉信号的解析表达式，以确定关键实验参数的影响。LC-OCT系统基于具有用于焦点扫描的焦点可调透镜的林尼克型成像干涉仪，并与使用压电线性平移台进行相干平面扫描的迈克尔逊型补偿干涉仪相结合。该系统在整个成像深度（400µm）上实现了约1µm的轴向和横向图像分辨率，与传统的LC-OCT一致。以14.3帧/秒的速度采集的皮肤垂直截面图像（B扫描）显示了表皮和真皮内可区分的结构。通过重新聚焦和拼接，获得了成像深度超过1.4mm的组织模型图像。该系统有望实现LC-OCT的小型化，同时提高成像速度并扩展成像深度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/9e05c97ea430/boe-15-9-5384-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/405ca3b44b5b/boe-15-9-5384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/528b3fa99eea/boe-15-9-5384-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/7b24d3cf8d81/boe-15-9-5384-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/d64c84d9d6d2/boe-15-9-5384-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/9a726346c345/boe-15-9-5384-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/5b7808182b7e/boe-15-9-5384-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/d07ffad87577/boe-15-9-5384-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/8421c2592a2e/boe-15-9-5384-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/9e05c97ea430/boe-15-9-5384-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/405ca3b44b5b/boe-15-9-5384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/528b3fa99eea/boe-15-9-5384-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/7b24d3cf8d81/boe-15-9-5384-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/d64c84d9d6d2/boe-15-9-5384-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/9a726346c345/boe-15-9-5384-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/5b7808182b7e/boe-15-9-5384-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/d07ffad87577/boe-15-9-5384-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/8421c2592a2e/boe-15-9-5384-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb19/11407268/9e05c97ea430/boe-15-9-5384-g009.jpg

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