DR. MICHAEL R FORD, M.D.
Marriage and Family Therapists at Saint Vincent Way, Little Rock, AR

License number

Arkansas C6201

Personal information

See more information about MICHAEL R FORD at radaris.com

Name

Address

Phone

Michael Ford, age 43

517 Paschal Ave, Trumann, AR 72472

Organization information

See more information about MICHAEL R FORD at bizstanding.com

St Vincent West - Michael R Ford MD

16221 Saint Vincent Way STE 100, Little Rock, AR 72223

Categories:

Family & General Practice Physicians & Surgeons, Physicians & Surgeons

Phone:

(501) 552-8150 (Phone)

Professional information

Michael R Ford, Arkadelphia AR

Specialties:

Family Physician

Address:

3004 Pine St, Arkadelphia, AR 71923
16221 St. Vincent Way, Little Rock, AR 72223

Education:

University of Arkansas for Medical Sciences, College of Medicine - Doctor of Medicine

Board certifications:

American Board of Family Medicine Certification in Family Medicine

Michael Ford - Little Rock, AR

Work:

St Andrews Place - Conway, AR
Dietary Aide/Server Baptist Health Medical Center - N Little Rock, AR
Film Librarian conway human development center - Conway, AR
lst Darragh Co. - Little Rock, AR
Warehouse Worker/ship/receving

Education:

Itt tec Inst - Little Rock, AR
computer electronic in cadd entry Harmony Grove High School - Camden, AR
basic

Electrician At Fordz Inc

Position:

Electrician at Fordz Inc

Location:

Little Rock, Arkansas Area

Industry:

Facilities Services

Work:

Fordz Inc - Electrician

Automated Position Control Of A Surface Array Relative To A Liquid Microjunction Surface Sampler

US Patent:

7295026, Nov 13, 2007

Filed:

Jun 3, 2005

Appl. No.:

11/144882

Inventors:

Gary J. Van Berkel - Clinton TN, US
Vilmos Kertesz - Knoxville TN, US
Michael James Ford - Little Rock AR, US

Assignee:

UT-Battelle, LLC - Oak Ridge TN

International Classification:

G01R 31/02

US Classification:

324758

Abstract:

A system and method utilizes an image analysis approach for controlling the probe-to-surface distance of a liquid junction-based surface sampling system for use with mass spectrometric detection. Such an approach enables a hands-free formation of the liquid microjunction used to sample solution composition from the surface and for re-optimization, as necessary, of the microjunction thickness during a surface scan to achieve a fully automated surface sampling system.