MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04441cam a22004098i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22867445 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240221101859.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
221114s2023 nju b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2022047670 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780470647509 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781119239000 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Canceled/invalid ISBN |
9781119239048 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DNLM/DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
RB43 |
| 060 00 - NATIONAL LIBRARY OF MEDICINE CALL NUMBER |
|---|
| Classification number |
WN 180 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
DC 616.07580285 |
| Edition number |
23/eng/20230113 |
| Item number |
M778 2023 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Moon, Inkyu, |
| Relator term |
author. |
| 9 (RLIN) |
52793 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Artificial intelligence in digital holographic microscopy : |
| Remainder of title |
technical basis and biomedical applications / |
| Statement of responsibility, etc. |
Inkyu Moon. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc. |
Hobeken, NJ : |
| Name of publisher, distributor, etc. |
John Wiley & Sons, Inc., |
| Date of publication, distribution, etc. |
©2023. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2301 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 326 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
23 cm. |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Wiley series in biomedical engineering and multi-disciplinary integrated systems |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Coherent optical imaging -- Lateral and depth resolutions -- Phase unwrapping -- Off-axis digital holographic microscopy -- No-search focus prediction in DHM with deep learning -- Deep learning model -- Noise-free phase imaging in Gabor DHM with deep learning -- Red blood cells phase image segmentation -- Red blood cells phase image segmentation with deep learning -- Automated phenotypic classification of red blood cells -- Automated analysis of red blood cell storage lesions -- Automated red blood cells classification with deep learning -- High-throughput label-free cell counting with deep neural networks -- Automated tracking of temporal displacements of red blood cells -- Automated quantitative analysis of red blood cells dynamics -- Quantitative analysis of red blood cells during temperature elevation -- Automated measurement of cardiomyocytes dynamics with DHM -- Automated analysis of cardiomyocytes with deep learning -- Automatic quantification of drug-treated cardiomyocytes with DHM -- Analysis of cardiomyocytes with holographic image-based tracking -- Conclusion and future work. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Real-time automated identification of pathogenic micro/nano biological organisms or other specimens has many potential applications in security and defense or health related applications. Developing reliable, automated, and low-cost methods for real-time sensing, monitoring, and identification of harmful pathogens or malignant cells is beneficial in combating catastrophic pandemics, providing disease detection and monitoring for emerging medical treatment procedures, food safety, environmental health and safety monitoring. Conventional methods used to inspect and identify bacteria and other biological species often involve labor-intensive and time-consuming biochemical and/or biomolecular processing. Optical imaging systems based on digital holography and integral imaging have been extensively investigated for 3D visualization and recognition of rigid, macro objects. However, biological organisms are typically non-rigid and exhibit dynamic behavior such as moving, dividing and growing. This makes it difficult to identify biological species based on their shape, size or morphology in conventional 2D imaging. Moreover, many unicellular biological species such as bacteria, yeast or protozoans appear essentially transparent under bright field microscopes unless the specimen is stained and/or fixed: a process in which the cells are killed and dynamics cannot be studied. Meanwhile, 2D intensity images of the microorganisms are usually insufficient for identification or visualization of transparent microorganism parts, e.g. sperm tails. Therefore, developing high-speed, low-cost and reliable system for three-dimensional (3D) analysis, visualization, identification and monitoring of harmful pathogens or biological cells are essential"-- |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Holography |
| General subdivision |
methods |
| 9 (RLIN) |
52794 |
| 650 12 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Microscopy |
| General subdivision |
methods |
| 9 (RLIN) |
52795 |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial Intelligence |
| 9 (RLIN) |
52796 |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Erythrocytes |
| General subdivision |
pathology |
| 9 (RLIN) |
52797 |
| 650 22 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Myocytes, Cardiac |
| General subdivision |
pathology |
| 9 (RLIN) |
52798 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Moon, Inkyu. |
| Title |
Artificial intelligence in digital holographic microscopy |
| Place, publisher, and date of publication |
Hoboken, NJ : Wiley, 2023 |
| International Standard Book Number |
9781119239000 |
| Record control number |
(DLC) 2022047671 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
Wiley series in biomedical engineering and multi-disciplinary integrated systems. |
| 9 (RLIN) |
52799 |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Circulation |
