3D intensity and phase imaging from light field measurements in an LED array microscope

Tian, Lei; Waller, Laura

doi:10.1364/optica.2.000104

Cited by 397 publications

(297 citation statements)

References 64 publications

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“…As our primary aim has been to develop the mechanical platform, there are many opportunities for improvement that we intend to pursue, for example, adding fluorescence imaging, using a better low-cost lens, 24 or enhancing the resolution. 25 …”

Section: Opticsmentioning

confidence: 99%

A one-piece 3D printed flexure translation stage for open-source microscopy

Sharkey

Foo

Kabla

et al. 2016

Review of Scientific Instruments

128

116

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Open source hardware has the potential to revolutionise the way we build scientific instruments; with the advent of readily-available 3D printers, mechanical designs can now be shared, improved and replicated faster and more easily than ever before. However, printed parts are typically plastic and often perform poorly compared to traditionally machined mechanisms. We have overcome many of the limitations of 3D printed mechanisms by exploiting the compliance of the plastic to produce a monolithic 3D printed flexure translation stage, capable of sub-micron-scale motion over a range of 8×8×4 mm. This requires minimal post-print cleanup, and can be automated with readily-available stepper motors. The resulting plastic composite structure is very stiff and exhibits remarkably low drift, moving less than 20 µm over the course of a week, without temperature stabilisation. This enables us to construct a miniature microscope with excellent mechanical stability, perfect for timelapse measurements in situ in an incubator or fume hood. The ease of manufacture lends itself to use in containment facilities where disposability is advantageous, and to experiments requiring many microscopes in parallel. High performance mechanisms based on printed flexures need not be limited to microscopy, and we anticipate their use in other devices both within the laboratory and beyond.

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Section: Opticsmentioning

confidence: 99%

A one-piece 3D printed flexure translation stage for open-source microscopy

Sharkey

Foo

Kabla

et al. 2016

Review of Scientific Instruments

128

116

View full text Add to dashboard Cite

show abstract

“…Maleki and Devaney in 1993 [9] demonstrated diffraction tomography using intensity measurements and iterative phase retrieval [10]. Very recently an iterative optimization method was demonstrated [11] for imaging 3D objects using incoherent illumination and intensity detection. There are similarities but also complementary differences between our method and [11].…”

Section: Introductionmentioning

confidence: 99%

“…There are similarities but also complementary differences between our method and [11]. Our method uses coherent light and relies on digital holography [12,13] to record the complex amplitude of the field, whereas direct intensity detection is used in [11]. Both use the beam propagation method (BPM) [14,15] to model the scattering process and the error backpropagation method [16] to train the system.…”

Section: Introductionmentioning

confidence: 99%

Learning approach to optical tomography

Kamilov

Papadopoulos

Shoreh

et al. 2015

Optica

329

190

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Optical tomography has been widely investigated for biomedical imaging applications. In recent years optical tomography has been combined with digital holography and has been employed to produce high-quality images of phase objects such as cells. In this paper we describe a method for imaging 3D phase objects in a tomographic configuration implemented by training an artificial neural network to reproduce the complex amplitude of the experimentally measured scattered light. The network is designed such that the voxel values of the refractive index of the 3D object are the variables that are adapted during the training process. We demonstrate the method experimentally by forming images of the 3D refractive index distribution of Hela cells.

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“…Very recently an iterative optimization method was demonstrated [11] for imaging 3D objects using incoherent illumination and intensity detection. There are similarities but also complementary differences between our method and [11]. Our method uses coherent light and relies on digital holography [12,13] to record the complex amplitude of the field, whereas direct intensity detection is used in [11].…”

Section: Introductionmentioning

confidence: 99%