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Fast compressive lens-free tomography for 3D biological cell culture imaging.
Opt Express ; 28(18): 26935-26952, 2020 Aug 31.
Article em En | MEDLINE | ID: mdl-32906958
We present a compressive lens-free technique that performs tomographic imaging across a cubic millimeter-scale volume from highly sparse data. Compared with existing lens-free 3D microscopy systems, our method requires an order of magnitude fewer multi-angle illuminations for tomographic reconstruction, leading to a compact, cost-effective and scanning-free setup with a reduced data acquisition time to enable high-throughput 3D imaging of dynamic biological processes. We apply a fast proximal gradient algorithm with composite regularization to address the ill-posed tomographic inverse problem. Using simulated data, we show that the proposed method can achieve a reconstruction speed ∼10× faster than the state-of-the-art inverse problem approach in 3D lens-free microscopy. We experimentally validate the effectiveness of our method by imaging a resolution test chart and polystyrene beads, demonstrating its capability to resolve micron-size features in both lateral and axial directions. Furthermore, tomographic reconstruction results of neuronspheres and intestinal organoids reveal the potential of this 3D imaging technique for high-resolution and high-throughput biological applications.
Assuntos

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Tomografia / Organoides / Imageamento Tridimensional / Hipocampo / Intestinos / Microscopia Limite: Animals / Humans Idioma: En Revista: Opt Express Assunto da revista: OFTALMOLOGIA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Tomografia / Organoides / Imageamento Tridimensional / Hipocampo / Intestinos / Microscopia Limite: Animals / Humans Idioma: En Revista: Opt Express Assunto da revista: OFTALMOLOGIA Ano de publicação: 2020 Tipo de documento: Article