Ms. Kaiqi Lang Profile

Kaiqi Lang

at Zhejiang Univ

SPIE Involvement:

Author

Publications (2)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 12 March 2021 Paper

Classification of phytoplankton digital holograms using transfer learning

Xin Qiao, Ming Tang, Zhiyuan Tang, Kaiqi Lang, Xiaoping Wang

Proceedings Volume 11763, 117636D (2021) https://doi.org/10.1117/12.2587333

Read Abstract +

Phytoplankton, as an important component of marine ecosystem, play a key role in understanding marine resources and monitoring marine environment. In this paper, under the suggestion of marine biology professional researcher, we selected six kinds of phytoplankton commonly found in China’s coastal areas and conducted digital holographic microscopic imaging experiments to obtain their holograms. Then, the angular spectrum reconstruction algorithm was used to conduct diffraction reconstruction of the phytoplankton hologram to achieve clear imaging of the algae target. A threshold based image segmentation algorithm is used to segment the phytoplankton target area and obtain image dataset. Finally, transfer learning is used to train on the pre-trained model. Experimental results show that the classification accuracy of the trained network on the test set can reach 95.7%.

Proceedings Article | 12 March 2021 Paper

Research on improving reconstruction quality from holograms of marine algae in digital holographic microscopy

Zhiyuan Tang, Ming Tang, Xin Qiao, Kaiqi Lang, Xiaoping Wang

Proceedings Volume 11763, 117632G (2021) https://doi.org/10.1117/12.2586391

Read Abstract +

In this paper, we improve reconstruction quality from in-line holograms of marine algae by two phase-retrieval-based reconstruction methods. Digital holographic microscopy, with its high-resolution and volume recording capability, has been applied in the area of monitoring marine algae. We designed a digital in-line holographic microscopy laboratory system to observe and analyze marine algae. Due to the “twin-image” problem caused by the loss of phase information in hologram recording, the reconstructed quality from holograms of marine algae reduced significantly. To enhance reconstruction quality, the alternating projections methods and inverse methods are introduced and implemented on the marine algae holograms. Compared with the traditional backpropagation method, both of the above methods have good performance in improving reconstruction quality from in-line marine algae holograms.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years