# Needle Biopsy And Fiber-Optic Compatible Robotic Insertion Platform

**Authors:** Fanxin Wang, Yikun Cheng, Chuyuan Tao, Rohit Bhargava, Thenkurussi Kesavadas

arXiv: 2509.00530 · 2025-09-03

## TL;DR

This paper introduces a compact robotic platform designed to improve tissue biopsy accuracy and efficiency by enabling precise, multi-modal tool insertion and navigation for better diagnosis.

## Contribution

The paper presents a novel, maneuverable robotic insertion system capable of guiding various tools for enhanced biopsy accuracy and multi-modal tissue diagnosis.

## Key findings

- High positioning accuracy demonstrated
- Effective tool insertion performance validated
- System supports multi-modal diagnostic tools

## Abstract

Tissue biopsy is the gold standard for diagnosing many diseases, involving the extraction of diseased tissue for histopathology analysis by expert pathologists. However, this procedure has two main limitations: 1) Manual sampling through tissue biopsy is prone to inaccuracies; 2) The extraction process is followed by a time-consuming pathology test. To address these limitations, we present a compact, accurate, and maneuverable robotic insertion platform to overcome the limitations in traditional histopathology. Our platform is capable of steering a variety of tools with different sizes, including needle for tissue extraction and optical fibers for vibrational spectroscopy applications. This system facilitates the guidance of end-effector to the tissue and assists surgeons in navigating to the biopsy target area for multi-modal diagnosis. In this paper, we outline the general concept of our device, followed by a detailed description of its mechanical design and control scheme. We conclude with the validation of the system through a series of tests, including positioning accuracy, admittance performance, and tool insertion efficacy.

## Full text

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## Figures

12 figures with captions in the complete paper: https://tomesphere.com/paper/2509.00530/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/2509.00530/full.md

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Source: https://tomesphere.com/paper/2509.00530