東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Single-Shot 3D Microscopy : = Optics and Algorithms Co-Design.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Single-Shot 3D Microscopy :/
其他題名:	Optics and Algorithms Co-Design.
作者:	Liu, Fanglin Linda.
面頁冊數:	1 online resource (106 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:	Dissertations Abstracts International84-03B.
標題:	Optics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29208849click for full text (PQDT)
ISBN:	9798351476513

Single-Shot 3D Microscopy : = Optics and Algorithms Co-Design.
Liu, Fanglin Linda.

Single-Shot 3D Microscopy :Optics and Algorithms Co-Design. - 1 online resource (106 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: B.

Thesis (D.Eng.)--University of California, Berkeley, 2022.

Includes bibliographical references

Computational imaging involves simultaneously designing optical hardware and reconstruction software. Such a co-design framework brings together the best of both worlds for an imaging system. The goal is to develop a high-speed, high-resolution, and large field-of-view microscope that can detect 3D fluorescence signals from single image acquisition. To achieve this goal, I propose a new method called Fourier DiffuserScope, a single-shot 3D fluorescent microscope that uses a phase mask (i.e., a diffuser with random microlenses) in the Fourier plane to encode 3D information, then computationally reconstructs the volume by solving a sparsity-constrained inverse problem.In this dissertation, I will discuss the design principles of the Fourier DiffuserScope from three perspectives: first-principles optics, compressed sensing theory, and physics-based machine learning. First, in the heuristic design, the phase mask consists of randomly placed microlenses with varying focal lengths; the random positions provide a larger field-of-view compared to a conventional microlens array, and the diverse focal lengths improve the axial depth range. I then build an experimental system that achieves < 3 μm lateral and 4 μm axial resolution over a 1000x1000x280 μm3 volume. Lastly, we use a differentiable forward model of Fourier DiffuserScope in conjunction with a differentiable reconstruction algorithm to jointly optimize both the phase mask surface profile and the reconstruction parameters. We validate our method in 2D and 3D single-shot imaging, where the optimized diffuser demonstrates improved reconstruction quality compared to previous heuristic designs.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798351476513Subjects--Topical Terms:

517925
Optics.
Subjects--Index Terms:

3D imagingIndex Terms--Genre/Form:

542853
Electronic books.

Single-Shot 3D Microscopy : = Optics and Algorithms Co-Design.
LDR:03022nmm a2200385K 4500 001 2356746
005 20230619080103.5
006 m o d
007 cr mn ---uuuuu
008 241011s2022 xx obm 000 0 eng d
020 $a 9798351476513
035 $a (MiAaPQ)AAI29208849
035 $a AAI29208849
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Liu, Fanglin Linda. $3 3697245
245 1 0 $a Single-Shot 3D Microscopy : $b Optics and Algorithms Co-Design.
264 0 $c 2022
300 $a 1 online resource (106 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
500 $a Advisor: Waller, Laura.
502 $a Thesis (D.Eng.)--University of California, Berkeley, 2022.
504 $a Includes bibliographical references
520 $a Computational imaging involves simultaneously designing optical hardware and reconstruction software. Such a co-design framework brings together the best of both worlds for an imaging system. The goal is to develop a high-speed, high-resolution, and large field-of-view microscope that can detect 3D fluorescence signals from single image acquisition. To achieve this goal, I propose a new method called Fourier DiffuserScope, a single-shot 3D fluorescent microscope that uses a phase mask (i.e., a diffuser with random microlenses) in the Fourier plane to encode 3D information, then computationally reconstructs the volume by solving a sparsity-constrained inverse problem.In this dissertation, I will discuss the design principles of the Fourier DiffuserScope from three perspectives: first-principles optics, compressed sensing theory, and physics-based machine learning. First, in the heuristic design, the phase mask consists of randomly placed microlenses with varying focal lengths; the random positions provide a larger field-of-view compared to a conventional microlens array, and the diverse focal lengths improve the axial depth range. I then build an experimental system that achieves < 3 μm lateral and 4 μm axial resolution over a 1000x1000x280 μm3 volume. Lastly, we use a differentiable forward model of Fourier DiffuserScope in conjunction with a differentiable reconstruction algorithm to jointly optimize both the phase mask surface profile and the reconstruction parameters. We validate our method in 2D and 3D single-shot imaging, where the optimized diffuser demonstrates improved reconstruction quality compared to previous heuristic designs.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Optics. $3 517925
650 4 $a Electrical engineering. $3 649834
650 4 $a Computer science. $3 523869
653 $a 3D imaging
653 $a Fluorescence microscopy
653 $a Physics-based machine learning
653 $a Machine learning
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0752
690 $a 0544
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a University of California, Berkeley. $b Electrical Engineering & Computer Sciences. $3 1671057
773 0 $t Dissertations Abstracts International $g 84-03B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29208849 $z click for full text (PQDT)