Analysis of the pickup and display property of integral floating microscopy

Hong, Jong Ha; Yeom, Jiwoon; Kim, Jong-Hyun; Park, Soon-gi; Jeong, Youngmo; Lee, Byoungho

doi:10.1080/15980316.2015.1027749

Cited by 2 publications

(1 citation statement)

References 21 publications

(53 reference statements)

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“…The main limitation of light field in microscopy is the spatial resolution [5]. To overcome this problem, a change of paradigm was necessary, so that the MLA is set, not at the image plane, but at the Fourier plane [6,7].…”

Section: Introductionmentioning

confidence: 99%

Robust Depth Estimation for Light Field Microscopy

Palmieri

Scrofani

Incardona

et al. 2019

Sensors

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Light field technologies have seen a rise in recent years and microscopy is a field where such technology has had a deep impact. The possibility to provide spatial and angular information at the same time and in a single shot brings several advantages and allows for new applications. A common goal in these applications is the calculation of a depth map to reconstruct the three-dimensional geometry of the scene. Many approaches are applicable, but most of them cannot achieve high accuracy because of the nature of such images: biological samples are usually poor in features and do not exhibit sharp colors like natural scene. Due to such conditions, standard approaches result in noisy depth maps. In this work, a robust approach is proposed where accurate depth maps can be produced exploiting the information recorded in the light field, in particular, images produced with Fourier integral Microscope. The proposed approach can be divided into three main parts. Initially, it creates two cost volumes using different focal cues, namely correspondences and defocus. Secondly, it applies filtering methods that exploit multi-scale and super-pixels cost aggregation to reduce noise and enhance the accuracy. Finally, it merges the two cost volumes and extracts a depth map through multi-label optimization.

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Section: Introductionmentioning

confidence: 99%