FIMic: design for ultimate 3D-integral microscopy of in-vivo biological samples

Scrofani, Gabriele; Sola-Pikabea, Jorge; Llavador, Anabel; Sánchez-Ortiga, Emilio; Barreiro, J.C.; Saavedra, Genaro; Garcı́a-Sucerquia, Jorge; Martı́nez-Corral, Manuel

doi:10.1364/boe.9.000335

Cited by 81 publications

(59 citation statements)

References 33 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since this configuration results in a loss of spatial resolution, observed most acutely at the image plane (23), the microlens array is optimally located in a plane conjugate to the pupil of the microscope objective for SMLFM (24). This configuration is known as Fourier light field microscopy (25)(26)(27).…”

Section: Light Field Microscopymentioning

confidence: 99%

Single Molecule Light Field Microscopy

Sims

Rehman

Lenz

et al. 2020

Preprint

View full text Add to dashboard Cite

We introduce single molecule light field microscopy (SMLFM), a novel 3D single molecule localization technique that is capable of up to 20 nm isotropic precision across a 6 µm depth of field. SMLFM can be readily implemented by installing a refractive microlens array into the conjugate back focal plane of any widefield single molecule localization system. We demonstrate that 3D localization can be performed by postprocessing 2D localization data generated by common, widelyused, algorithms. In this work we benchmark the performance of SMLFM and finally showcase its capabilities by imaging fluorescently labeled membranes of fixed eukaryotic cells below the diffraction limit.

show abstract

Section: Light Field Microscopymentioning

confidence: 99%

Single Molecule Light Field Microscopy

Sims

Rehman

Lenz

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The spatial resolution limit of the computed perspective views is the result of the competence between two factors [20,21]. One factor is due to diffraction and the other is due to the sensor pixilation.…”

Section: Basic Theory Of Imicmentioning

confidence: 99%

“…The depth of field of the view images can be calculated, also in terms of the coupling parameter [20], as ( )…”

Section: Basic Theory Of Imicmentioning

confidence: 99%

See 1 more Smart Citation

View images with unprecedented resolution in integral microscopy

Llavador¹,

Garcı́a-Sucerquia²,

Sánchez-Ortiga³

et al. 2018

OSA Continuum

Self Cite

View full text Add to dashboard Cite

Integral microscopy is a novel technique that allows the simultaneous capture of multiple perspective images of microscopic samples. This feature is achieved at the cost of a significant reduction of the spatial resolution. In fact, it is assumed that in the best cases the resolution is reduced by a factor that is not smaller than ten, what poses a hard drawback to the utility of the technique. However, to the best of our knowledge, this resolution limitation has never been researched rigorously. For this reason, the aim of this paper is to explore the real limitations in resolution of integral microscopy and to obtain optically, without the need of any image-processing algorithm, perspective images with the best resolution ever achieved in integral microscopy. This result opens a wide range of new possibilities of using integral microscopy in any imaging application were micron resolution is required.

show abstract

“…Recently, Scrofani et al [14] proposed a FIMic scheme based on a telecentric architecture and Fourier-plane recording by placing an MLA at the aperture stop of a microscope objective. The FIMic captures a set of orthographic perspectives of a 3D specimen.…”

Section: B Fourier Integral Microscopementioning

confidence: 99%

Area-Based Depth Estimation for Monochromatic Feature-Sparse Orthographic Capture

Scrofani

Sjöström

et al. 2018

2018 26th European Signal Processing Conference (EUSIPCO)

View full text Add to dashboard Cite

With the rapid development of light field technology, depth estimation has been highlighted as one of the critical problems in the field, and a number of approaches have been proposed to extract the depth of the scene. However, depth estimation by stereo matching becomes difficult and unreliable when the captured images lack both color and feature information. In this paper, we propose a scheme that extracts robust depth from monochromatic, feature-sparse scenes recorded in orthographic sub-aperture images. Unlike approaches which rely on the rich color and texture information across the sub-aperture views, our approach is based on depth from focus techniques. First, we superimpose shifted sub-aperture images on top of an arbitrarily chosen central image. To focus on different depths, the shift amount is varied based on the micro-lens array properties. Next, an area-based depth estimation approach is applied to find the best match among the focal stack and generate the dense depth map. This process is repeated for each sub-aperture image. Finally, occlusions are handled by merging depth maps generated from different central images followed by a voting process. Results show that the proposed scheme is more suitable than conventional depth estimation approaches in the context of orthographic captures that have insufficient color and feature information, such as microscopic fluorescence imaging. Index Terms-Depth estimation, integral imaging, orthographic views, depth from focus.

show abstract

FIMic: design for ultimate 3D-integral microscopy of in-vivo biological samples

Cited by 81 publications

References 33 publications

Single Molecule Light Field Microscopy

Single Molecule Light Field Microscopy

View images with unprecedented resolution in integral microscopy

Area-Based Depth Estimation for Monochromatic Feature-Sparse Orthographic Capture

Contact Info

Product

Resources

About