Author
Listed:
- Depeng Wang
(University at Buffalo, State University of New York
Duke University)
- Huijuan Zhang
(University at Buffalo, State University of New York)
- Tri Vu
(University at Buffalo, State University of New York)
- Ye Zhan
(University at Buffalo, State University of New York)
- Akash Malhotra
(City University of Hong Kong)
- Pei Wang
(City University of Hong Kong)
- Upendra Chitgupi
(University at Buffalo, State University of New York)
- Aliza Rai
(City University of Hong Kong)
- Sizhe Zhang
(University at Buffalo, State University of New York)
- Lidai Wang
(City University of Hong Kong)
- Jan D. Huizinga
(McMaster University)
- Jonathan F. Lovell
(University at Buffalo, State University of New York)
- Jun Xia
(University at Buffalo, State University of New York)
Abstract
Functional intestinal imaging holds importance for the diagnosis and evaluation of treatment of gastrointestinal diseases. Currently, preclinical imaging of intestinal motility in animal models is performed either invasively with excised intestines or noninvasively under anesthesia, and cannot reveal intestinal dynamics in the awake condition. Capitalizing on near-infrared optics and a high-absorbing contrast agent, we report the Trans-illumination Intestine Projection (TIP) imaging system for free-moving mice. After a complete system evaluation, we performed in vivo studies, and obtained peristalsis and segmentation motor patterns of free-moving mice. We show the in vivo typical segmentation motor pattern, that was previously shown in ex vivo studies to be controlled by intestinal pacemaker cells. We also show the effects of anesthesia on motor patterns, highlighting the possibility to study the role of the extrinsic nervous system in controlling motor patterns, which requires unanesthetized live animals. Combining with light-field technologies, we further demonstrated 3D imaging of intestine in vivo (3D-TIP). Importantly, the added depth information allows us to extract intestines located away from the abdominal wall, and to quantify intestinal motor patterns along different directions. The TIP system should open up avenues for functional imaging of the GI tract in conscious animals in natural physiological states.
Suggested Citation
Depeng Wang & Huijuan Zhang & Tri Vu & Ye Zhan & Akash Malhotra & Pei Wang & Upendra Chitgupi & Aliza Rai & Sizhe Zhang & Lidai Wang & Jan D. Huizinga & Jonathan F. Lovell & Jun Xia, 2021.
"Trans-illumination intestine projection imaging of intestinal motility in mice,"
Nature Communications, Nature, vol. 12(1), pages 1-12, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21930-w
DOI: 10.1038/s41467-021-21930-w
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21930-w. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.